How Much Does AI Consulting Cost in the UK?

AI consulting in the UK typically costs £500 to £1,800 per day for independent and boutique consultants, or £2,500 to £50,000+ for a scoped project, depending on whether you are buying advice or delivery. A short AI readiness assessment runs from a few hundred pounds to around £2,000. A strategy and implementation plan is typically £5,000–£15,000. A pilot project lands around £15,000–£50,000. Full implementation across multiple processes is £50,000–£200,000+.

The range is wide because “AI consulting” covers at least five different services with different economics. The rest of this guide breaks those down. Ranges are based on published UK pricing and contract-rate data as of September 2026.

Why the range is so wide

Two consultants can quote £5,000 and £50,000 for what sounds like the same engagement. The difference is almost always one of four things:

The single most useful question to ask any AI consultant is: “What exactly will exist when this engagement ends that doesn't exist now?” If the answer isn't specific, the price is whatever they can get.

UK AI consulting pricing by engagement type

AI readiness assessment: a few hundred pounds to £2,000

A short, fixed-scope piece of work that audits your current workflows, identifies where AI would actually help, and gives you a prioritised list of recommendations with tool names and next steps. More structured audits from boutique firms run higher, into the low tens of thousands.

This is where most small businesses should start. It's cheap, it answers the question “is there anything here for us?”, and it gives you enough information to decide whether to invest further. Some consultants credit the assessment fee against a larger engagement if you proceed within a set window.

What you get: a workflow audit, five to seven specific recommendations, and a priority roadmap.

AI strategy and implementation planning: £5,000–£15,000

The next step up. Instead of identifying where AI might help, this produces a detailed plan: what to build, which tools, in what order, with what timeline and dependencies. It is for companies that already know AI is relevant to them and need a costed, sequenced plan before committing engineering time or budget.

What you get: a prioritised roadmap, tool selection, build-vs-buy assessment, timeline, and cost estimates.

Pilot project: £15,000–£50,000

One AI solution, built and deployed, with training and typically a few months of support. The pilot is the point at which AI consulting stops being advice and starts being delivery: the consultant is now writing code, configuring tools and integrating with your systems — or managing the people who are. Enterprise pilots with heavier integration and compliance work can cost considerably more.

What you get: a working system, documentation, training, and a support window.

Full implementation: £50,000–£200,000+

Multiple processes automated or augmented, across several systems or departments. At this level you are typically working with a consultancy rather than a solo practitioner, and the engagement runs for months. Enterprise transformation work — touching core systems, compliance and organisational change — starts around £200,000 and scales from there.

Fractional or advisory retainer: roughly £1,500–£5,000 per month

Instead of buying a project, you buy ongoing access to senior judgement — from light-touch advisory at the lower end to around one day a week of embedded engagement at the top.

The comparison point is a full-time Head of AI, which typically costs £120,000–£150,000+ in salary before employer costs. Fractional advisory exists because the leadership gap is real but the full-time role often isn't justified — or can't be filled quickly.

Day rates: what to expect

Contract-market data gives a useful anchor: according to IT Jobs Watch, the median day rate advertised for AI consultant contracts in London was £575 in the six months to July 2025. Advisory engagements sold directly to companies usually sit above contract rates, because they include scoping, accountability for the outcome, and senior judgement rather than capacity.

For a 10–100 person UK firm, a credible AI consultant in London typically costs £800–£1,600 per day or £8,000–£35,000 per project, depending on whether they actually build. The word “build” is doing a lot of work in that sentence.

Why some quotes seem absurd

It is not unusual for a small business to ask for help and receive a £15,000–£40,000 proposal for a “discovery phase”.

That is not a scam. It is a consultancy pricing for its usual client base — enterprises with 200+ employees, procurement processes, and budgets measured in hundreds of thousands. For a large organisation, a thorough discovery phase that prevents a £200,000 wrong build is good value. The same proposal sent to a small business is simply the wrong document.

Most small businesses should be looking at the bottom of every range in this guide, not the middle. A short readiness assessment that tells you what to do on Monday morning can be more useful than an expensive report that tells you what to think.

What actually drives the cost up

Four factors move the price more than anything else:

Integration complexity. A standalone tool is cheaper than something that has to talk to your CRM, ERP and data warehouse. Each integration is engineering work.

Data quality. If your data is scattered, inconsistent or poorly documented, the first phase of any AI project becomes data cleanup. That is necessary work, but it is not the work you thought you were buying.

Evaluation and safety requirements. In regulated sectors — finance, healthcare, legal — AI systems need evaluation frameworks, audit trails and human oversight. This is real work and it costs real money, but skipping it is how projects fail after launch. (See how to evaluate AI agents.)

Ongoing ownership. Building something is one cost. Running it is another. Consultants who quote only for the build and leave you with an unmaintainable system are not cheaper — they are just deferring the cost.

What to ask before you commit

Five questions that separate a useful engagement from an expensive one:

1. “What will exist at the end that doesn't exist now?” Push for specifics. “A roadmap” is not specific. “A costed 12-week plan for three named use cases, with build-vs-buy recommendations and success metrics” is.
2. “Who actually does the work?” If the person selling the engagement isn't the person doing it, ask who is and what their experience is.
3. “How will we know if this worked?” If there is no answer before the work starts, there won't be one after.
4. “What happens to the code and documentation?” You should own both. Anything else is a lock-in you didn't agree to.
5. “What would you not do?” A consultant who can't name the limits of their own usefulness is not giving you advice, they are giving you a proposal. More on this in what an AI consultant actually does.

A note on cheap consultants

A freelancer at £400 a day can be better value than a firm at £1,800 a day — if they have the specific experience you need and the engagement is well scoped. A freelancer at £400 a day can also be far more expensive, if the work has to be redone.

The variable is not the rate. It is whether the person has solved a problem like yours before, and whether the engagement is structured so that you can tell.

The short version

The number that matters most is not on this list. It is the cost of the wrong decision — the architecture mistake discovered six months in, the pilot that never reaches production, the system nobody can maintain. That number is usually larger than the consulting fee that would have prevented it.

Yuliya Halavachova is an AI Engineering Manager at a global enterprise software company, leading a team of 15 engineers shipping AI agents in a B2B SaaS product. She provides AI consulting for UK companies across AI strategy, LLM and RAG architecture, agentic AI, and AI evaluation. Engagements are scoped and quoted individually after a discovery call — book one here.