How much does an AI consultant cost in the UK?

The four common levels of AI consultancy

Price is mainly a consequence of scope. Before asking for a quote, decide which level of help is actually required.

Engagement	Question it answers	Typical outputs
Workshop or diagnostic	Where is AI worth considering?	Process map, candidate use cases, constraints and next actions
Readiness and roadmap	What should we prioritise and control?	Scored opportunities, governance needs, owners and staged plan
Controlled pilot	Can one workflow work with real users?	Working pilot, review method, measures and adoption decision
Implementation programme	How do we deploy and maintain this safely?	Integrated workflow, documentation, training, monitoring and support

What UK providers actually publish

Most of the pricing advice written about UK AI consultancy is generic. The table below is different: it records only what named UK providers publish on their own websites, checked directly in August 2026. The most striking finding is how few of them publish anything at all.

Provider	Publishes pricing?	What is published
The AI Consultancy (London) Ltd	Yes, in full	Readiness Sprint from £3,500; Discovery and Pilot from £15,000; Build and Embed from £40,000; day rate £950 to £1,500. All excluding VAT.
Fifty One Degrees (51d.co)	Partly	Proof of concept typically under £15,000 in two to four weeks; Claude implementation packages £25,000 to £70,000. No day rate published.
AIAS (aias.co)	Partly	“Most first projects land between £2,000 and £10,000 depending on scope.” Fixed quote model, explicitly no hourly billing.
Brainpool AI	No	Declines to publish figures: costs “vary depending on scope, complexity and duration”, quote on request.
Ronins	No	No figures published; budget discussed directly with the client.
Akita	No	No figures published.
Big four firms	No	No AI engagement pricing published on their own websites. See the public-sector section below for the one exception.

One published rate card contradicts itself

Worth knowing if you are using published figures as a benchmark. The AI Consultancy states two different readiness prices on the same domain. Its AI readiness service page says assessments “start from GBP 1,000 for a focused, single-department evaluation”, rising to “GBP 3,000 to GBP 8,000” organisation-wide. Its own implementation-cost article gives “GBP 3,500 to GBP 5,000 for a single-business-unit assessment, rising to GBP 8,000 or more”. Both were live in August 2026.

This is not a criticism of that firm, which publishes considerably more than most of its competitors. It is a caution about treating any single published figure as a market rate.

The public-sector rate cards nobody quotes

The UK Government’s G-Cloud framework requires suppliers to publish rate cards, which makes it the most reliable public source of named-supplier AI pricing in the UK. It is also the only place a big four firm publishes an AI readiness rate at all.

Supplier	Service	Published day rate
Ernst & Young LLP	AI, Data and Tech Readiness	£240 to £2,600 a unit
Hippo Digital	AI Readiness and Implementation	£550 to £1,600 a day
Envitia	AI Artificial Intelligence Readiness	£300 to £1,580 a day
Digital Space Managed Services	Generative AI and Data Readiness Assessment	£595 to £1,495 a day
CMC Partnership Consultancy	AI Implementation Readiness	£400 to £1,300 a day

Important caveat: every one of these pricing documents is dated April or May 2024. They are genuine, named and government-hosted, but they are over two years old and may not reflect current commercial rates. Treat them as a floor and a structure rather than a current quote.

What the contractor market actually pays

Consultancy fees and contractor day rates are different things, and conflating them is one of the commonest errors in AI pricing comparisons. A consultancy fee covers scoping, delivery, assurance, documentation and adoption support. A contractor day rate buys a person. The figures below are live market data rather than anyone’s rate card.

Role	Median UK day rate	Source and period
Machine Learning Engineer	£575	IT Jobs Watch, six months to 26 August 2026
Data Scientist	£600	IT Jobs Watch, six months to 26 August 2026
AI and Automation freelancers	£472 average	YunoJuno 2026 Contractor and Freelancer Rates Report

The trend matters more than the level. The median Machine Learning Engineer contract rate has fallen from £675 to £575 over the past year, a drop of just under 15 per cent. Rising demand for AI has not translated into rising rates for the people building it, which is worth remembering when a proposal justifies its price by citing talent scarcity.

How to read any AI pricing figure honestly

1. Check the pricing model before comparing. A £3,500 fixed-fee readiness sprint and a £1,600 day rate are not comparable numbers. Ask how many days the fixed fee assumes.
2. Distrust second-hand tier claims. Statements that “Big four firms charge £2,500 to £4,000 a day” circulate widely, but they are almost always one consultancy’s characterisation of a competitor’s rates. The only first-hand big four AI readiness figure we could find anywhere is EY’s G-Cloud listing above.
3. Check the date on the source. A 2024 rate card and a 2026 quote are different things, particularly in a market where contractor rates have fallen by 15 per cent in a year.
4. Ask what the fee excludes. Adoption, training, documentation and post-launch support are frequently priced separately. A lower headline figure often means a narrower scope rather than better value.
5. Treat any figure without a named source as marketing. That includes ours: every number on this page names where it came from so you can check it.

Sources

• Provider rate cards published at theaiconsultancy.ai, 51d.co and aias.co, checked August 2026.
• UK Government Digital Marketplace, G-Cloud 14 service listings and pricing documents, dated April and May 2024.
• IT Jobs Watch UK contract rate data, six months to 26 August 2026.
• YunoJuno 2026 Contractor and Freelancer Rates Report.

For what it is worth, we publish our own. Indexify AI readiness audits start at £3,000 excluding VAT for a single team and £7,500 for regulated or sensitive-data work, with the full scope of each on our pricing page. It seemed inconsistent to write this page otherwise.

If you are benchmarking a proposal and want the underlying figures, ask us for the source list. If you would rather start by establishing what you actually need, an AI readiness audit scopes the decision before the spend.

What changes the cost?

Number of workflows and users

One document-review process for a small team is easier to define and test than a programme spanning sales, operations and customer support. More roles create more examples, permissions, edge cases and training needs.

Data sensitivity and assurance

Public source material can often be tested quickly. Personal, confidential, regulated or commercially sensitive information needs stricter account choices, access controls, retention decisions and review.

Integration and interface

A carefully designed manual workflow may be the right pilot. Connecting several systems, building an interface and monitoring failures creates additional engineering and maintenance work.

Accuracy and consequence

A brainstorming aid and a process that influences a financial, employment or safety decision need different levels of testing. The higher the consequence, the more the project must invest in source control, evaluation, human review and escalation.

Change and adoption

A working prototype has little value if the intended people cannot use it reliably. Role-based training, documentation, ownership and follow-up should be included when adoption is part of the outcome.

How to compare two AI consultancy proposals

1. Check the problem definition. Is the proposal tied to a named process, user and outcome?
2. Check what is delivered. Separate advice, prototype, implementation, training and ongoing support.
3. Check the evidence. The proposal should state how quality, time, adoption or commercial impact will be compared.
4. Check ownership. Confirm who owns the prompts, code, documentation, accounts and resulting data.
5. Check the stopping point. A good staged scope allows the organisation to stop after discovery or a pilot if the evidence is weak.

A practical scope template

• The business process and current method
• The users, owners and reviewers involved
• Approved and excluded data
• The intended output and quality threshold
• Tools, integrations and account assumptions
• Deliverables and acceptance criteria
• Measures, comparison method and reporting date
• Training, documentation and post-launch support
• Exclusions, dependencies and change-control process

If these points are missing, a low quote may simply exclude the work required to move from demonstration to adopted process.

When should you start smaller?

Start with a workshop or focused diagnostic when the organisation has many ideas but no prioritisation method. Start with a pilot when one process is well understood and the main uncertainty is whether AI can meet the required quality. Move to implementation only when the workflow, controls and owner are clear.

For a fuller explanation of the work itself, read what an AI consultant does. If the team already knows the use case but lacks capability, compare practical AI training with an implementation engagement.

Questions people ask

How much does an AI consultant cost in the UK?

Cost depends on the decision and delivery required. A workshop, readiness review, controlled pilot and integrated implementation are different engagements. Ask for a staged scope, named outputs and a decision point before scale.

Should we compare AI consultants by day rate?

A day rate helps with procurement but does not show whether the work includes discovery, implementation, testing, documentation or support. Compare the complete outcome and evidence.

What makes an AI implementation more expensive?

Integrations, sensitive data, bespoke interfaces, security review, high accuracy requirements, many user groups and ongoing support all increase the work.

Can a small business start with a fixed project?

Yes. A focused workshop, workflow review or pilot can be scoped around one process and one decision, reducing the risk of committing to a wider programme too early.

Which UK AI consultancies actually publish their prices?

Very few. Checked in August 2026, The AI Consultancy publishes a full rate card, Fifty One Degrees and AIAS publish partial project figures, and Brainpool, Ronins and Akita publish nothing at all. No big four firm publishes AI engagement pricing on its own website; the only first-hand big four figure we could find is EY’s AI readiness day rate on the UK Government G-Cloud framework.

What should be included in an AI consultancy proposal?

It should name the problem, users, inputs, boundaries, deliverables, responsibilities, measures, assumptions, exclusions and the point at which you decide whether to proceed.