How are UK businesses using AI in operations and finance?

Operations and finance are the most disciplined AI buyers in the mid-market, and it shows in the return. In aibl’s survey of 755 UK mid-market business leaders, the efficiency pillar posts the highest ceiling of any function, 96% measurable ROI among the most mature, and the cleanest failure record. These are leaders who defined what ‘working’ meant before they deployed.

See where operations and finance teams like yours are getting a return: benchmark your AI maturity against the 755 UK business leaders we surveyed.

The most disciplined buyers post the highest ceiling

Operations and finance leaders are the least likely to describe themselves as caught up in AI momentum, and it works in their favour. Among the most mature, they report 96% measurable ROI, the highest ceiling in the survey, with the cleanest failure record of any function.

The reason is sequencing. These are leaders who wrote down what a return would look like before they bought anything, so a year later they have the number rather than a hunch.

The steepest reward for enforcing a policy

Efficiency shows the biggest payoff in the survey for turning a written policy into an enforced one. Measurable ROI climbs from 32% where the policy is defined but inconsistent to 62% where it is formal and enforced, a 30-point jump, then to 96% at full maturity.

A framework on the intranet does not deliver the return on its own. The gain comes when it is actually enforced. Our piece on why a policy nobody follows is worse than none covers the trap in the middle.

Measure before you buy

The habit that separates this pillar is the simplest to describe: do not sign an AI purchase until the success metric and the pre-AI baseline are written into the case. Skip it and you are measuring backwards from a baseline you no longer have.

For operations and finance, that fits work you already do. Add an AI line to the operational reports you run, so the return is measured with the same rigour as everything else. Our guide to building an AI business case your CFO will approve sets out how.

Low personal AI use, high discipline, and room to grow

Operations and finance leaders use AI hands-on less than their peers in technology or HR, yet still post the highest ceiling, because discipline is doing the work. That is also the opportunity: across the survey a leader who uses AI themselves adds around 18 points to whatever governance already delivers.

So the next lever here is personal fluency at the top. Our analysis of why leaders who use AI themselves get better results covers the effect, and how personal AI use varies by function shows where operations and finance sit.

What this means for the COO and CFO

Keep doing what already works: define the metric and baseline before you buy, and enforce the policy rather than just publishing it. That enforcement step is worth 30 points here.

Then close the one gap. Build your own and your team’s hands-on use of AI, since that adds around 18 points on top of governance. Discipline gave operations and finance the highest ceiling. Getting hands-on with AI at the top is what would help them hit it more often.

Frequently asked questions

Read the full State of UK AI Adoption 2026 report →

Operations and finance teams tend to reach a solid business case and then stall for want of people to build the thing. The AI Enablement Directory lists UK partners in process and document automation, and data and analytics. New findings land each Friday in aiblBRIEF, our free weekly newsletter.

About the research: the State of UK AI Adoption Survey 2026 was run with aibl’s research partner Executive Summary. It covers 755 UK mid-market business leaders in organisations with revenues of £20m to £500m, fielded January to March 2026. Every figure above describes the leaders surveyed.