What BGF and Beauhurst’s new AI report quietly says about the finance leader's seat
Published: 05.10.2026 | Author: Ray Nicholls | Category: Reviews & Insight
BGF and Beauhurst have just published research on AI adoption among UK and Irish growth businesses, based on 285 leaders running companies with 50–500 employees. The headline is simple: confidence is high, delivery is patchy. Seven in ten say AI matters to their business today, but only one in ten say it's fully integrated.
It's written for founders and CEOs. Read it as someone who hires finance leaders, though, and a different story appears. Almost every barrier it identifies sits close to the finance function.
1. Nobody can prove the return
A third of leaders say uncertainty about ROI is holding them back. Only 6% say they can measure it with confidence.
That isn't a technology problem. It's the discipline of defining what success looks like before you spend the money, then tracking it honestly afterwards. It's what a good finance leader does by instinct, and it's the report's own recommendation for escaping the pilot trap.
2. The data question lives in finance's house
A third also cite data quality, and BGF calls strong data foundations non-negotiable. In most businesses, finance owns the most scrutinised, reconciled data in the building. A finance leader who has built one version of the truth gives the business a head start. One whose reporting still runs on spreadsheets and goodwill doesn't.
3. Policies are easy. Controls are harder
Nearly two thirds of the leaders surveyed have a responsible AI policy. Yet the most-cited long-term risk is poor decision quality (40%): AI-assisted decisions in pricing, credit or hiring that are wrong in ways nobody notices. Even BGF admits the research can't show how many policies are genuinely embedded in practice.
That is a controls conversation. Who checks the output, how often, and who signs off? Finance leaders have been asking those questions for years.
4. Investors are starting to ask
The report notes that AI strategy is increasingly part of growth-stage transactions. Investors and acquirers want to see sound data foundations, initiatives tied to measurable outcomes, and a credible path to scale. They don't need an AI-mature business, but they do want to see the plan.
When that story has to be told in a data room, it usually falls to the CFO.
What this means for hiring
This is our reading, not the report's. When a board writes a CFO brief today, "comfortable with AI" will increasingly appear somewhere on it. Be careful what that means. The strongest candidates won't be the ones with the most impressive AI vocabulary. They'll be the ones who can:
Set up a small, well-defined pilot with a measurable outcome
Say plainly what has worked, what hasn't, and how they know
Hold the line on data quality and governance while the business moves quickly
That's judgement, and it's much harder to assess in an interview than technical fluency.
A note on the numbers
The survey is a snapshot of 285 leaders. The comparisons between BGF portfolio companies and the wider sample rest on only 27 respondents, so treat them as directional. The patterns are useful, but they're not gospel.
The question worth asking
The report says the biggest gap is between intent and delivery. In your business, who owns the answer to "is this actually working?" And is that person at the leadership table?
Source: BGF and Beauhurst, "Unlocking value from AI" (September 2026).
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