The AI Middle
You have made the AI investments. You are not yet getting the return.
This is the AI Middle. Most UK mid-market businesses are in it. Very few have a clear plan for closing the gap.
Duration
Two to four weeks (diagnostic); two to four months (programme)
Fee shape
Fixed fee, or retained
Suits
Businesses with real AI spend but no clean answer on what it delivers
Typical client size
£15m to £100m revenue
What the AI Middle looks like
You will recognise some of these.
- Tools are in use, but nobody can say with confidence what they are producing.
- Finance is uncertain whether the AI spend is earning its place in the budget.
- Operations is running processes that AI changed in ways nobody fully mapped.
- IT believes the situation is in hand. The board is not sure it agrees.
- A pilot was declared a success. Scaling it across teams proved harder than expected.
- There is no single person who owns the AI programme. Accountability is distributed and, in practice, absent.
- When the board asks what AI is delivering, the answer takes three weeks to produce and still lacks a clean number.
None of this is unusual. Most mid-market businesses that have started with AI are somewhere in the middle of the journey, not through it.
The AI Middle is not a failure of ambition. It is a leadership gap.
What closing the gap requires
Three things separate the organisations that prove an AI return from those that do not.
One person who owns the outcome. Not a committee. Not a vendor. Not an IT function that is already stretched. A named individual with accountability for what the AI programme is delivering and the authority to make it work.
A measurement layer that holds up. Most AI programmes are measured on deployment: tools in use, users trained, pilots completed. What boards actually need is a measure of business return: decision speed, cycle time, error rate, cost per transaction, revenue impact. Those are the numbers that belong in a board pack, and they take active governance to produce, not a vendor dashboard.
Governance that fits the function. Finance and Operations have different risk profiles, different regulatory exposure, and different definitions of a good AI outcome. A governance framework that works in Finance, audit-ready and exception-reported, is not the one that works in a distribution operation. Both need to exist for AI. In most mid-market businesses, neither has been built yet.
The engagement
Two engagements: a short diagnostic, or a retained programme.
The AI Middle diagnostic. A structured assessment, over two to four weeks, of where your AI programme stands: tools in use, measurement in place, governance gaps, accountability structure, and a written view of what it will take to move through the Middle. Delivered as a board paper and a working plan. Fixed fee. No retainer required.
The AI Middle programme. For businesses that want to move through the Middle, not just understand it. A retained engagement, typically two to four months, in which I act as your Fractional AI Operations Lead: owning the AI agenda alongside your leadership team, installing the measurement and governance layer, running the Finance and Operations workstreams, and reporting to the board each quarter. Sized to the business.
Both engagements are available to UK mid-market businesses turning over £15m to £100m, working across any sector. Based near the M4 corridor, remote-first, with in-person time for key milestones.
Why this, rather than a consultancy or a full-time hire
A management consultancy will produce a strategy. It will not stay to run it. What it leaves behind still needs someone to own and operate, which returns you to the same leadership gap.
A full-time AI hire at leadership level, a Chief AI Officer or Head of AI, costs £120,000 to £200,000 a year before a team is built around them, takes three to six months to recruit, and needs a clarity of mandate most mid-market businesses have not yet developed.
A fractional arrangement gives you a named, experienced operator who is part of your leadership team, available for the time the business actually needs rather than five days a week, and working across the AI Middle transition without the cost or the hiring risk.
Is this the right engagement?
It is likely to be a fit if:
- Your business is turning over between £15m and £100m.
- You have made real AI investments in the last twelve to eighteen months.
- You cannot currently give the board a clean answer on what those investments are delivering.
- Nobody in your leadership team has a clear mandate over the AI programme.
- Finance or Operations, or both, are where you most need AI to produce a visible return.
It is not a fit if your business has not yet begun AI adoption, is pre-revenue or early-stage, or already has a functioning AI operations capability in place.