AI Consultancy Cost in the UK and London: Day Rates, Fixed Fees and What Moves the Quote

What does an AI consultant cost in the UK?

Two kinds of numbers answer this question, and they disagree, so it helps to know which one you are looking at.

The first is the contract market: what companies pay an individual AI consultant by the day on a contract. IT Jobs Watch tracks advertised contracts and reports a median of £575 a day across the UK and £500 a day in the City of London for the six months to 10 November 2026, with the UK 90th percentile at £715 (IT Jobs Watch, UK; City of London). Those are real advertised rates, but the sample is small (107 UK vacancies, 4 in the City), and a contractor at that rate comes without scoping, delivery responsibility or a result to sign off.

The second is consultancy pricing: what a firm charges per consultant per day when it takes responsibility for an outcome. One UK consultancy publishes its reading of the market as £500 to £2,000 a day for independent consultants, £900 to £1,600 for boutique and mid-tier firms, and £2,000 to £5,000 for the Big Four and strategy houses, with programme minimums around £100,000 at the top end (We Call Shotgun, August 2026). It sells the service it is pricing, so treat the bands as a vendor's view rather than a survey.

A day rate is the wrong unit for most SME projects. You are not buying days. You are buying a workflow that runs on Monday morning without someone checking it by hand. The honest question is what that costs, scoped, with a result you can accept or reject.

What SIMARA AI charges

We quote a fixed fee for an agreed deliverable. These are the bands we work in. Your quote is a single number inside one of them, with the assumptions written down.

For comparison with the market table, our fees work out at roughly £750 to £950 a day of our time. We publish that so you can compare like with like. We still quote the work as a fixed fee, because a day rate leaves the risk of a slow project with you.

VAT is on top. Third-party licences and unusual infrastructure are listed separately in the quote, and the quote says what is included. The pricing page carries the same bands.

Why a fixed scope beats a day rate for an SME

A day rate looks cheaper because the first number is smaller. It stops looking cheaper on the day the consultant tells you the integration is harder than expected and asks for two more weeks.

A fixed fee only works if the scope is real. That is why we scope first. The scoping work produces the specification, the acceptance criteria and the quote, and the fee is credited against the build if you go ahead. If you stop there, you still own a document another supplier could build from.

Inside a fixed fee, five things decide where your quote lands:

• Systems. Which systems must read or write data, and what access do they offer? An accounting package with a documented API is a different job from a system that only exports spreadsheets.
• Inputs. How much do the documents, messages or records vary? Ten supplier invoice layouts cost more than one.
• Decisions. Which rules can be written down, and which judgements still need a person? Every judgement call needs a review step designed around it.
• Exceptions. What happens when a match fails, a record is duplicated or the output is uncertain? Exception handling is usually a third of the work and is the part a demo never shows.
• Controls. Who may run the workflow, approve its outputs and see the audit trail? Finance and HR workflows need more of this than a marketing workflow does.

Notice that "London" is not on the list. We work with London and South East businesses, and our fees are the same whether the office is in Croydon or Cambridge.

A worked example: purchase invoice matching

Our published invoice-matching case study is the clearest picture of what a production build contains.

The business received purchase invoices that had to be matched against purchase orders and goods received notes before payment. The manual process produced frequent duplicates and incorrect values, and matching took a large share of the finance team's week.

What we built: matching logic running as SQL Server procedures and agent jobs inside the systems the business already had, with every failed match routed to a person under a named reason. The reasons are the exception list from the section above, made specific: goods received note not recorded, quantity mismatch beyond the agreed threshold, price variance over the allowed limit, and new supplier or product needing setup.

What it returned: 75% of staff time on the task saved, 65% less manual processing within 90 days, and approximately £80,000 a year. Those figures belong to that one implementation. They are not an average across our clients and they are not a forecast for yours.

Work of this shape, matching across purchasing and finance records with a defined exception set, sits in the production automation band. Where it lands inside the band depends on the five things above.

What makes a quote go up, and what brings it down

Up:

• A system that offers no API, so data has to be moved through exports and imports.
• Inputs that arrive in many formats, especially scanned documents of varying quality.
• Approval chains that change by amount, department or supplier.
• A requirement for a user interface rather than working inside tools the team already opens.
• Deep testing against historical data because the cost of a wrong output is high.

Down:

• Start with the highest-volume, most repetitive slice of the workflow and leave the rare cases manual for now.
• Accept a review queue for exceptions instead of trying to automate every edge case in the first build.
• Use the systems you already have rather than adding a new one for the project.
• Give us representative data early. A prototype built on real examples is cheaper than one rebuilt after the pilot.

The prototype exists for exactly this trade. It proves the hardest assumption on your real data for £3,000 to £8,000, and you decide whether the production build is worth its band with evidence rather than a pitch.

Consultant, freelancer or an in-house hire?

We have written a fuller comparison at AI consultant vs in-house hire.

How to get a real number for your workflow

1. Describe the workflow. The free Architecture Studio turns a description of one process into a report: the systems involved, the likely automation pattern, the risks and the questions a scoping session would answer.
2. Scope it. A one to two week scoping engagement produces the specification and the fixed quote.
3. Decide. Prototype, build or stop. The scoping fee is credited if you build.

If you want a feel for the value first, the Workflow Savings Calculator estimates the hours a workflow releases each month from your own inputs. Released hours become a cash saving only when spending actually falls, so keep capacity value and cash savings separate when you compare them with the fee.

Sources

• IT Jobs Watch. Artificial Intelligence Consultant contract rates, UK and City of London, six months to 10 November 2026. https://www.itjobswatch.co.uk/contracts/uk/artificial%20intelligence%20consultant.do
• We Call Shotgun, 17 August 2026. AI consulting costs UK 2026. A consultancy's published market bands. https://wecallshotgun.com/blog/ai-consulting-costs-uk-2026
• SIMARA AI. Automating purchase invoice matching, case study. https://simara.ai/case-studies/invoice-automation
• SIMARA AI. Pricing. https://simara.ai/pricing