How much does AI consultancy cost in the UK? A 2026 pricing guide
Most firms make you book a call to hear a number. Here are the actual ranges we see across the UK market — and the handful of questions that determine where in the range you land.
AI consultancy pricing in the UK spans two orders of magnitude, from a few thousand pounds for a focused sprint with a boutique studio to seven figures for a big-four transformation programme. Neither end is wrong — they're different products. The trick is knowing which product you're actually buying.
This guide is about hiring an AI consultant or consultancy for your business — not the cost of a university degree, MSc or certification to become one. If you're researching AI-related qualifications, this isn't that page.
The short answer
UK AI consultancy in 2026: a discovery sprint costs £5,000–£25,000, an AI audit £5,000–£20,000, and fractional advisory £2,000–£10,000+ per month. Day rates span £500–£1,500 — freelancers £400–£800, boutique studios £700–£1,200, large management consultancies £1,500–£5,000 with minimum fees often from £100,000. London carries a 10–20% premium, and data preparation typically adds 40–60% to a budget that only counted engineering time.
UK day rates by provider type
Before engagement pricing, the underlying rate card. Most of the spread between quotes is explained by which row of this table you are talking to.
| Provider | Day rate | Minimum engagement | What you're paying for |
|---|---|---|---|
| Independent freelancer | £400–£800 | £3k–£10k | One person's expertise, usually deep in a narrow area. |
| Boutique specialist studio | £700–£1,200 | £5k–£25k | Practitioners who also build, so recommendations are constrained by buildability. |
| Mid-size consultancy | £900–£1,500 | £25k–£75k | Broader coverage and some process weight behind the advice. |
| Large management consultancy | £1,500–£5,000 | £100k+ | Board-level credibility, scale, and accountability for regulated change. |
Two adjustments that catch people out. London adds 10–20% over the rest of the UK — see the full AI consultant cost breakdown for London if that is where you are hiring. And data preparation and infrastructure routinely add 40–60% to a budget scoped only around advisory or engineering time — the single most common reason an AI budget overruns, and worth asking about explicitly before you sign anything.
The three common engagement shapes
Discovery sprint — roughly £5k–£25k
One to two weeks: workshops, a review of your data and systems, and a prioritised roadmap of where AI genuinely moves the needle. Boutique studios sit at the lower half of this range; strategy houses with big delivery teams sit higher. The output should be artefacts you own: an opportunity map, a model selection matrix, a costed build plan.
AI audit — typically £5k–£20k, often fixed-price
You already have something — a prototype, a vendor integration, an acquisition target — and need an honest assessment against production standards: accuracy, cost trajectory, security posture, evaluation coverage. Priced after a short scoping call because depth varies enormously.
Fractional AI advisory — £2k–£10k+ per month
Ongoing access to senior AI engineering judgment without a full-time hire: architecture reviews, keeping model choices current, hiring support. Price scales with cadence — a monthly review costs less than embedded weekly involvement.
What actually moves the price
- Workflow count — assessing two candidate workflows is a sprint; assessing a whole operation is a programme.
- Data readiness — if your data needs an archaeology dig before anyone can assess it, that's billable time.
- Regulatory surface — fintech, legal and healthcare due diligence goes deeper and costs more, for good reason.
- Who's in the room — practitioners who also build tend to be cheaper AND more specific than pure-strategy firms, because the recommendation is constrained by having to be buildable.
What consultancy costs next to a build
Consultancy is rarely the whole spend, and sizing it against what comes after prevents the common mistake of spending a quarter of the budget deciding what to do.
| Stage | Duration | Market range |
|---|---|---|
| Discovery sprint | 1–2 weeks | £3k–£25k |
| AI audit | 1–2 weeks | £3k–£20k |
| MVP build | 4–8 weeks | £10k–£75k |
| Production programme | 3–6 months | £50k–£250k+ |
| Fractional advisory | Monthly | £2k–£10k+/mo |
A reasonable rule: discovery should cost roughly 10–20% of the build it precedes. Much less and it will not have looked at your data properly. Much more and you are buying analysis instead of software.
The alternative nobody quotes you
The honest comparison is not between two consultancies. It is between consultancy and the other two ways to get the answer.
Hiring in-house. A senior AI engineer in London costs £90,000–£140,000 plus 20–30% employer overhead, and takes three to six months to hire. Cheaper than any agency across a multi-year horizon; considerably more expensive and slower for a single decision.
Doing it yourself. Genuinely viable, and we say so more often than is commercially convenient. If your team can already name the workflow that hurts most in hours or pounds, name who will own the system after launch, and state what "working" means as a number, you probably do not need a discovery sprint — you need a build.
Red flags worth paying attention to
Be wary of consultancy that can only end in a recommendation to buy more consultancy; of deliverables described entirely in slide counts; and of anyone certain about your architecture before they've seen your data. The most expensive engagement is the one that produces a roadmap nobody can execute.
The cheapest option is knowing what to ask
Before you commission anything, be able to answer three questions: which workflow, measured in hours or pounds, hurts most today? Who would own the AI system internally after handover? And what would "working" look like as a number? If you can answer them, a small sprint is usually enough. If you can't, that's what the sprint is for — it's exactly what our AI consultancy discovery engagement produces, and when the roadmap points at operational quick wins, our AI automation team can ship the first one within weeks.
Frequently asked questions
How much does an AI consultancy discovery sprint cost in the UK?
Roughly £5k–£25k for one to two weeks of workshops, a review of your data and systems, and a prioritised roadmap. Boutique studios sit at the lower half of this range; strategy houses with big delivery teams sit higher.
How much does an AI audit cost?
Typically £5k–£20k, usually fixed-price after a short scoping call, for an honest assessment of an existing prototype or vendor integration against production standards: accuracy, cost trajectory, security posture and evaluation coverage.
How much does fractional AI advisory cost per month?
£2k–£10k+ per month for ongoing access to senior AI engineering judgment without a full-time hire. Price scales with cadence — a monthly review costs less than embedded weekly involvement.
What is the day rate for an AI consultant in the UK?
UK AI consultant day rates in 2026 span roughly £500–£1,500. Independent freelancers charge £400–£800, boutique specialist studios £700–£1,200, mid-size consultancies £900–£1,500, and large management consultancies £1,500–£5,000 with minimum project fees often starting at £100,000. London rates carry a 10–20% premium over the rest of the UK.
How much should AI consultancy cost relative to the build?
Discovery should cost roughly 10–20% of the build it precedes. Much less and it will not have examined your data properly; much more and you are buying analysis instead of software. In practice that means a discovery sprint costing a small fraction of the build that follows it. Our own consultancy engagements are priced against scope on that principle.
What hidden costs should we budget for in an AI project?
Data preparation and infrastructure routinely add 40–60% to a budget scoped only around advisory and engineering time — the most common cause of AI budget overruns. Also budget separately for model API usage, hosting and vector database costs, which you should pay providers directly rather than through a supplier markup.
What factors move the price of AI consultancy?
Four main drivers: how many workflows are assessed, how ready your data is for review, how deep the regulatory/compliance surface goes (fintech, legal and healthcare cost more), and whether the consultants are practitioners who also build — which tends to be both cheaper and more specific than pure-strategy firms.