Most service providers know how a renewal decision gets made. Someone on the client side pulls together the performance data, talks to the people who use the service, looks at the market and makes a recommendation. What’s starting to change is who, or what, does the first pass.
In its 2027 predictions for B2B buying, published last month, Forrester says business buyers will increasingly use AI agents across the buying process, from finding suppliers through to contract-renewal analysis. It expects fully autonomous buying to stay concentrated in high-volume, low-risk purchases, and a national facilities, logistics or IT services contract isn’t that. But it’s reasonable to expect that, before long, someone at your client will ask an AI tool to summarise how you’ve performed before they sit down to decide whether to renew.
That raises a practical question for every account team: what will it find?
The first pass is changing, the decision isn’t
It would be easy to read this as a threat, but the same research points the other way. Forrester also predicts that buyers will double their human interactions to validate AI-generated recommendations, because AI can’t fully judge a provider’s fit, trust or accountability.
Gartner’s survey of 645 B2B buyers found something similar: 45% had used GenAI during a recent purchase, mainly to gather information on vendors and products, and 69% said they prefer to validate AI-generated insights with sales reps.
So the likely pattern is AI for the summary and people for the judgement. For a supplier, both parts matter. The summary sets the starting point, and the conversation that follows is where the decision is really made.
Claims that can’t be checked will count for less
The prediction suppliers should take most seriously is Forrester’s view that two-thirds of providers will lose deals because buyers can’t verify their claims. It’s written through the lens of winning new business, but the logic carries over to renewals.
Think about what usually exists on a long-running service contract. There are monthly KPI packs, some rebuilt every quarter, and a slide deck from each Business Review, often sitting in someone’s inbox. There might be survey results from a couple of years ago, and actions agreed in a meeting that were followed up by email, or not at all. Much of the real picture, like how the relationship recovered after a difficult quarter or which stakeholders have become advocates, lives in the account manager’s head.
That’s hard for a person to piece together, let alone a tool. And when the evidence is patchy, any summary will lean on whatever is easiest to find: the contract value, the SLA misses, the complaint that was escalated last spring.
What a record you can verify looks like
The suppliers who’ll fare best are the ones whose value is already written down consistently, agreed with the client and easy to follow over time. In practice, that usually means:
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Reviews held at a steady cadence, giving a continuous record rather than leaving gaps whenever an account gets busy.
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Feedback from the wider stakeholder group, including people who weren’t in the meeting, so the record reflects more than one contact’s view.
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Sentiment tracked over time, meaning a dip and the recovery that followed are both visible.
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Actions logged against what was raised, with a note of what happened next. Following through is often more persuasive than the original score.
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Performance data both sides recognise, shared openly rather than reworked for each meeting.
None of this is new advice. What’s new is that the record may be read by something other than the people who sat through the meetings, and read very quickly.
The Business Review is where the human check happens
If buyers really do double their human interactions to check what AI tells them, the natural place for that conversation on an existing contract is the Business Review. It’s the key, regular moment when the client’s decision-makers and the supplier’s account team look at the same information together.
That changes what a good review needs to do. Reporting what happened still matters, but it’s the least valuable part. The useful part is the interpretation: why a number moved, what was done about it, what the client’s priorities are for next year and whether you understand them. That’s the context a summary leaves out, and it’s exactly what a renewal decision-maker will want to test.
It’s also worth asking who on the client side will be involved in the renewal, and making sure they’ve had a voice in your reviews well before the decision is made.
Keep the evidence focused on outcomes
Forrester’s predictions for customer service point the same way. It expects customers to push for measurable outcome metrics and contractual reviews tied to them, and makes the point that more automation doesn’t automatically mean better customer experiences.
For service providers, I’d interpret that as a reason to keep the record focused on outcomes the client cares about. Evidence of the client’s own priorities, how they were met and how the relationship felt along the way is far harder to argue with, whether a person or a machine is reading it.
Final thoughts
AI’s not going to be making renewal decisions on major service contracts any time soon. But it will increasingly shape the view a client has of how you’ve performed, and the questions they bring to the table.
The answer isn’t more reports. It’s making sure the work you already do in your Business Reviews leaves a consistent, honest record that stands up when someone checks it.
If your client asked an AI tool about your performance tomorrow, how will you ensure it finds the same story you’d tell in the room?
