<img height="1" width="1" style="display:none;" alt="" src="https://px.ads.linkedin.com/collect/?pid=4135034&amp;fmt=gif">

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

5 tips on how to evidence value during your Quarterly Business Reviews (QBRs)
Read more

Article

Why you need to run Quarterly Business Reviews (QBRs)
Read more

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

5 reasons Quarterly Business Reviews (QBRs) are essential for B2B enterprises
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

5 reasons Quarterly Business Reviews (QBRs) are essential for B2B enterprises
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

5 reasons Quarterly Business Reviews (QBRs) are essential for B2B enterprises
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

5 reasons Quarterly Business Reviews (QBRs) are essential for B2B enterprises
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

5 reasons Quarterly Business Reviews (QBRs) are essential for B2B enterprises
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

5 reasons Quarterly Business Reviews (QBRs) are essential for B2B enterprises
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

5 reasons Quarterly Business Reviews (QBRs) are essential for B2B enterprises
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

5 reasons Quarterly Business Reviews (QBRs) are essential for B2B enterprises
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

5 reasons Quarterly Business Reviews (QBRs) are essential for B2B enterprises
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

3 questions to ask to optimise your Quarterly Business Reviews (QBRs)
Read more

Article

5 reasons Quarterly Business Reviews (QBRs) are essential for B2B enterprises
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

Why you need to run Quarterly Business Reviews (QBRs)
Read more

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

5 ways to improve your Quarterly Business Review (QBR) meetings
Read more

Article

3 questions to ask to optimise your Quarterly Business Reviews (QBRs)
Read more

Article

3 easy steps to personalise your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

5 reasons Quarterly Business Reviews (QBRs) are essential for B2B enterprises
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

5 reasons Quarterly Business Reviews (QBRs) are essential for B2B enterprises
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

5 reasons Quarterly Business Reviews (QBRs) are essential for B2B enterprises
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

5 reasons Quarterly Business Reviews (QBRs) are essential for B2B enterprises
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

5 reasons Quarterly Business Reviews (QBRs) are essential for B2B enterprises
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

Why you need to run Quarterly Business Reviews (QBRs)
Read more

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

5 ways to improve your Quarterly Business Review (QBR) meetings
Read more

Article

3 questions to ask to optimise your Quarterly Business Reviews (QBRs)
Read more

Article

3 easy steps to personalise your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

3 questions to ask to optimise your Quarterly Business Reviews (QBRs)
Read more

Article

5 reasons Quarterly Business Reviews (QBRs) are essential for B2B enterprises
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

Why you need to run Quarterly Business Reviews (QBRs)
Read more

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

5 reasons Quarterly Business Reviews (QBRs) are essential for B2B enterprises
Read more

Article

3 questions to ask to optimise your Quarterly Business Reviews (QBRs)
Read more

Article

3 easy steps to personalise your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

5 reasons Quarterly Business Reviews (QBRs) are essential for B2B enterprises
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

3 questions to ask to optimise your Quarterly Business Reviews (QBRs)
Read more

Article

5 reasons Quarterly Business Reviews (QBRs) are essential for B2B enterprises
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

Why you need to run Quarterly Business Reviews (QBRs)
Read more

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

5 reasons Quarterly Business Reviews (QBRs) are essential for B2B enterprises
Read more

Article

3 questions to ask to optimise your Quarterly Business Reviews (QBRs)
Read more

Article

3 easy steps to personalise your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

5 reasons Quarterly Business Reviews (QBRs) are essential for B2B enterprises
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

3 questions to ask to optimise your Quarterly Business Reviews (QBRs)
Read more

Article

5 reasons Quarterly Business Reviews (QBRs) are essential for B2B enterprises
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

Why you need to run Quarterly Business Reviews (QBRs)
Read more

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

5 reasons Quarterly Business Reviews (QBRs) are essential for B2B enterprises
Read more

Article

3 questions to ask to optimise your Quarterly Business Reviews (QBRs)
Read more

Article

3 easy steps to personalise your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

How Quarterly Business Reviews (QBRs) can help you reduce risk of churn
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

Why you need to run Quarterly Business Reviews (QBRs)
Read more

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

White paper

Think your customers are happy?
Get the eBook

Article

Why you need to run Quarterly Business Reviews (QBRs)
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

White paper

Think your customers are happy?
Get the eBook

Article

Why you need to run Quarterly Business Reviews (QBRs)
Read more

Infographic

Five ways Quarterly Business Reviews impact retention and growth
Open now

Article

Why AI transparency belongs in your QBRs

AI transparency should be part of every Quarterly Business Review. As AI becomes more common in customer experience, QBRs give suppliers the right space to explain how AI is being used, where it is adding value and what controls are in place. That helps build trust, prove innovation and keep customer relationships strong.

ai-in-cx-stock-image

AI is no longer just an innovation talking point. It is starting to shape how suppliers report, spot trends, identify risks and improve responsiveness.

That creates opportunity, but it also creates expectation. Customers do not just want to hear that AI is being used. They want to understand what it is doing and what it means for them.

 

Why QBRs are the right place for the conversation

QBRs should do more than recap activity. They should show value, explain progress and build confidence in what comes next.

If AI is becoming part of your delivery model, it belongs in that discussion. Not as a buzzword, but as something you can explain clearly and connect to real outcomes.

 

The risk of being too vague

The problem is not AI itself. The problem is unclear messaging.

If a supplier says they are using AI to improve service, but cannot explain where it is being applied or what difference it is making, the message can feel superficial. It may sound innovative, but it does not build trust.

In a QBR, transparency does not mean sharing technical detail.

It means answering simple business questions. Where is AI being used? What problem is it solving? What safeguards are in place? Where does human oversight sit? How are you measuring success?

That is the level of clarity customers are looking for.

Picture18

How transparency strengthens the review

Handled well, AI transparency makes a QBR more effective.

It makes innovation more credible, because you are showing practical application rather than making broad claims. It makes value easier to evidence, because you can link AI to better insight, faster action or improved consistency. And it reduces uncertainty, because customers are not left guessing how it is being used in their account.

 

What this looks like in practice

This does not need to be a major new section in your QBR.

A short update is often enough. Explain what has changed, where AI is supporting the service, what results you are seeing and how its use is being managed. That keeps the conversation grounded in outcomes and reassures customers that innovation is being handled thoughtfully.

 

Final thought

AI belongs in your QBRs, but transparency matters just as much.

The suppliers that stand out will not be the ones making the biggest claims. They will be the ones explaining clearly how innovation is improving the customer experience, and why customers can trust it.

 

---

amanda-spencer-email-thumbnail

why-you-need-executive-buy-in-email-thumbnail

why-qbrs-miss-the-mark-kam-coach-blog-thumbnail

 

Related resources

Article

3 easy steps to personalise your Quarterly Business Reviews (QBRs)
Read more

Article

5 ways to improve your Quarterly Business Review (QBR) meetings
Read more

Article

What to include in your Quarterly Business Reviews (QBRs)
Read more
the-qbr-frustration-blog-image

Download our research whitepaper, 'The QBR Frustration'

We interviewed 100 senior leaders of B2B enterprises across the Logistics, FM, Contract Catering, IT, RPO and BPO sectors from the UK and US. The research reveals the failures of today's QBRs and highlights the urgent need for better business conversations. Learn more about where you can improve your QBRs to protect your margin and grow relationships with buyers today.