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AI in practice

How much does AI consulting cost for UK SMEs? (2026 guide)

Easy Insight Team ·

UK AI consulting is bought by the day, and the market rate is public: the median contract day rate for roles citing AI skills was £560 in the six months to 1 September 2026. For an SME, the first sensible purchase is rarely a project — it is a few days of scoping that tell you whether AI helps your specific process at all.

What is the market rate?

Advertised contract rates are the most honest public signal available, because they are what someone actually offered to pay rather than what a brochure claims.

In the six months to 1 September 2026, UK contract roles citing AI skills had a median day rate of £560, with the tenth percentile at £400 and the ninetieth at £788 — a rise of just 1.82% year on year, drawn from 4,935 contract postings (IT Jobs Watch).

The more interesting number in that data is not the rate but the volume. AI-citing roles made up 9.20% of all UK contract IT vacancies in that period, against 4.33% a year earlier. Demand roughly doubled as a share of the market while rates stayed almost flat — which tells you supply has caught up, and that you are no longer obliged to pay a scarcity premium.

Where consultancies sit relative to that median depends mostly on their size:

Who you are buying from Typical positioning What you get
Independent freelancer At or below the £400–£560 band One person's expertise, no bench, variable availability
Boutique consultancy Around and above the median Senior specialists, scoped delivery, an actual contract
Large or Big Four firm Multiples of the median Brand, process, and often a junior team doing the work

That last row is the one to interrogate. A high day rate is not a problem if a senior person is doing the work; it is a problem when the rate is senior and the delivery is not. Ask who will be in the room on day one and who will be there in week six.

What do typical SME engagements cost?

The bands below are our own planning assumptions rather than market survey data — they are how we scope this kind of work, and they will move with the state of your systems.

Engagement What it answers Planning band Indicative cost
Readiness review Where AI would pay in this business, and where it would not 2–5 days Roughly £1,100–£2,800 at the market median
Narrow proof of concept Does this work on our real data, with a pass/fail test 5–15 days Roughly £2,800–£8,400
Production automation One process, built, integrated and monitored 15–30 days Roughly £8,400–£16,800
Grounded assistant or chatbot Answers from your documents, with escalation 20–40 days Roughly £11,200–£22,400

The costs above are day-rate arithmetic at the £560 median, shown so you can sanity-check a quote — not a price list. A fixed-price engagement from a specialist firm often lands below the arithmetic, because the scope is closed and the work is familiar.

Is the fee the whole cost?

No, and this is where first-time AI budgets go wrong. Three lines usually get missed:

Tooling. As of September 2026 and excluding VAT, Microsoft 365 Copilot is £23.10 per user per month paid yearly, and Copilot Studio starts at £153.80 a month for a 25,000 Copilot Credit pack. If you build on model APIs instead, usage is metered and grows with adoption.

The data work. Most stalled AI projects are stalled on data, not models. If the information the system needs is spread across inboxes and spreadsheets, that groundwork is the project — the same problem we describe in recovering from spreadsheet chaos, and the reason a data strategy tends to precede a useful AI one.

The run. Someone has to watch what the thing does, review where it is wrong, and update it when the business changes. Budget for it, in the same way you would budget maintenance on a Power BI deployment.

Why are the quotes so far apart?

Because "AI consulting" is not one product. Three quotes for the same brief can differ by a factor of ten and all be honest, because they are quoting different things: a workshop, a prototype, and a production system with support.

The way to compare them is to stop comparing totals and start comparing four things:

  1. What you physically receive. A document? A working prototype? A system in production with monitoring?
  2. Who does the work. Named senior people, or a team assembled after you sign.
  3. What happens if the answer is no. A proposal that cannot conclude "don't build this" is selling a build, not advice.
  4. What it costs to keep running. The second-year number, in writing.

Our own view — and it is a view, not a finding — is that the biggest waste in SME AI spending is not overpriced day rates. It is well-executed projects aimed at processes that were never worth automating. That is what a readiness review is for, and why we would rather scope one honestly than sell a build that will not pay back. The wider AI practice page sets out how the pieces fit together, and AI development covers what a production build actually involves.

How do you keep the bill predictable?

Four rules that survive contact with reality:

Buy the question, not the platform. Start with the smallest engagement that produces a defensible yes or no.

Set a pass/fail test before work starts. "The model classifies 90% of invoices correctly on a held-back sample" is a test. "Explore AI opportunities" is not.

Fixed price for defined scope. Time and materials is right for genuine research and wrong for anything you can describe.

Cap the tooling. Metered AI costs scale with usage and usage scales with success. Set a budget alert on day one, not after the first surprising invoice.

Frequently asked questions

What is the going day rate for an AI consultant in the UK?

The median UK contract day rate for roles citing AI skills was £560 in the six months to 1 September 2026, with the tenth percentile at £400 and the ninetieth at £788 (IT Jobs Watch, from 4,935 contract postings). Independent freelancers sit at the lower end, boutique consultancies in the middle, and large firms well above the top of that range.

How much should an SME budget for a first AI project?

Enough to answer a question, not enough to bet the business. A scoped readiness review or a narrow proof of concept is the sensible first purchase, and both are measured in days rather than months. Anything that requires six figures before you have evidence that AI helps your specific process is the wrong first step.

Why do AI consulting quotes vary so wildly?

Because "AI consulting" covers everything from a two-day workshop to a year-long platform build, and because a large consultancy's day rate can be several times a specialist freelancer's. Ask what you receive, who does the work, and what happens if the answer turns out to be "don't build this" — the answers separate the quotes faster than the numbers do.

Is the consultancy fee the whole cost?

No. Budget for tooling and running costs too. As of September 2026, Microsoft 365 Copilot is £23.10 per user per month paid yearly and Copilot Studio starts at £153.80 a month for a 25,000 Copilot Credit pack, both excluding VAT. Model licences, API usage and hosting are ongoing costs that outlive the consultancy invoice.

What should we not pay a consultant for?

Strategy decks with no build attached, tool selection before anyone has defined the process, and pilots designed so they cannot fail. If a proposal has no measurable question at the top of it, you are buying reassurance rather than progress.


Easy Insight is a UK consultancy for AI, web, apps and data — senior specialists only, no juniors.

Next step

Wondering where AI would actually pay in your business?

An AI strategy and readiness review (from £2,500) tells you where AI pays, where it doesn't, and what to leave alone. The price is fixed in writing before we start, and the advice comes from a team that runs AI in its own products.

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