AI consultancy in London
Independent, technical AI advice for founders and product teams — where AI genuinely moves the needle for your business, which model to build on, and how to get from idea to production without expensive wrong turns.
The short answer
Independent, technical AI advice from people who also build. A discovery sprint runs one to two weeks; audits are fixed-price after a short scoping call; fractional advisory is a monthly retainer sized to the cadence you need. Every engagement ends with artefacts you own — an opportunity map, a model selection matrix and a costed roadmap your team could execute without us. We price against scope, not a rate card — see how we price.
On this page
Most companies don't have an AI problem; they have a prioritisation problem. The technology can plausibly touch every workflow, which is exactly why teams stall — pilots everywhere, production nowhere. Our consultancy exists to cut through that: identify the two or three places where a language model changes the economics of your business, prove them quickly, and give you a roadmap you can actually execute.
We're practitioners, not analysts. The same team that advises you ships production systems through our AI development practice, so recommendations come with an engineer's honesty about what will and won't work.
What our consultancy covers
Opportunity mapping
A structured pass over your workflows to find where AI has real leverage — scored by impact, feasibility and data readiness.
Technical due diligence
Honest assessment of vendor claims, existing prototypes or acquisition targets — what's real, what's demo-ware.
Model & vendor selection
Claude vs GPT vs Gemini vs open-source, compared on capability, latency, cost and governance for your use case.
Eval frameworks & enablement
Evaluation harnesses so quality is measurable, plus hands-on upskilling for your in-house team.
Engagement shapes
Discovery sprint — 1–2 weeks
Workshops with your team, a review of your data and systems, and a prioritised opportunity map with a costed roadmap for the top candidates. The fastest way to replace "we should do something with AI" with a plan.
AI audit
You already have AI in flight — a prototype, a vendor integration, a team experiment. We assess it against production standards: accuracy, cost trajectory, security posture, evaluation coverage — and tell you what to fix, keep or kill.
Fractional AI advisory
Ongoing access to senior AI engineering judgment — architecture reviews, model updates that actually matter, hiring support — without a full-time hire.
What you actually get
The fastest way to tell good consultancy from expensive slideware is to ask what artefacts you will own at the end. Ours are the same every time, and they are deliberately things your team could act on if we disappeared.
- A prioritised opportunity map. Every candidate workflow scored on impact, feasibility and data readiness — including the ones we recommend you do not do, and why.
- A model selection matrix. Claude, GPT, Gemini and viable open-source options compared on your actual task, with projected cost per request at your volume and measured latency, not benchmark tables copied from a vendor.
- A technical architecture recommendation. How the system should be built, which parts are genuinely hard, and where the integration risk sits.
- An evaluation framework. The definition of "working" as a number, and the harness to measure it. This is the artefact clients most often tell us was worth the whole engagement.
- A costed build roadmap. Sequenced, estimated, and executable by your in-house team or any other supplier.
What AI consultancy costs in the UK
A discovery sprint runs one to two weeks, priced on how many workflows we assess and how deep the technical due diligence goes. An AI audit is fixed-price after a short scoping call, because depth varies enormously. Fractional advisory is a monthly retainer sized to the cadence you need.
For market context, UK AI consultant day rates in 2026 span roughly £500–£1,500: independent freelancers at £400–£800, boutique studios at £700–£1,200, and large management consultancies at £1,500–£5,000 with minimum project fees often starting at £100,000. London carries a 10–20% premium over the rest of the UK. We sit below the studio band and price each engagement against its actual scope — tell us your budget and we will tell you honestly what fits, including when the answer is that you should spend less than you planned. We break the whole market down on our pricing page and in our UK AI consultancy pricing guide.
Every engagement ends with artefacts you own — no lock-in by design.
How much does an AI consultant cost in London?
London-based AI consultants typically charge 10–20% more than the UK-wide day rates above, reflecting cost of living and the concentration of finance and tech buyers in the city. In practice that puts a London freelancer at roughly £450–£950/day, a London boutique studio at £800–£1,400/day, and a London management consultancy at £1,700–£6,000/day. Project totals follow the same premium: a London discovery sprint sits at the upper end of the UK market range rather than the lower end. As a London-based studio ourselves, we quote against the actual scope of your project rather than a fixed card — tell us your budget and we'll tell you honestly what it buys.
Consultancy from people who build
The structural difference between us and a large consultancy is not price; it is who is in the room. Strategy houses separate the people who recommend from the people who deliver, which is why their roadmaps are so often unbuildable — nobody in the room was constrained by having to build it.
Our recommendations come from engineers who ship the same class of system through our AI development practice. In practice that shows up in three ways. We are more specific, because we have hit the failure modes. We are usually cheaper, because we need fewer weeks to reach a defensible answer. And we say no more often — roughly as many of our discovery sprints end with "build the simpler automation instead" or "you are not ready for this yet" as end with a build recommendation.
The obvious counterweight, stated plainly: we also sell builds, so there is an incentive worth watching. Our answer is that the roadmap is designed to be executable without us and many clients take it to their own team — and that the fastest way to lose a reputation in a small market is to recommend work that did not need doing.
From roadmap to working software
Consultancy is designed to stand alone — many clients take the roadmap to their in-house team. But when you want the same people who wrote the plan to build it, the hand-off into our AI development practice is seamless, and for operations-heavy roadmaps, our AI automation work turns the quick wins into shipped workflow tools first.
Frequently asked questions
What does an AI consultant actually deliver?
Concrete artefacts, not slideware: a prioritised opportunity map, a technical architecture recommendation, a model selection matrix with cost and latency projections, an evaluation framework, and a build roadmap your team can execute — with us or without us.
How much does AI consultancy cost in the UK?
Across the UK market, AI consultant day rates span roughly £500–£1,500 — independent freelancers £400–£800, boutique studios £700–£1,200, and large management consultancies £1,500–£5,000 with minimum fees often from £100,000. London carries a 10–20% premium. Our own engagements are priced against scope rather than a fixed rate card, and we sit below the studio band above — tell us your budget and we will tell you what fits inside it.
How much does an AI consultant cost in London?
London-based AI consultants typically charge 10–20% more than UK-wide day rates: roughly £450–£950/day for a freelancer, £800–£1,400/day for a boutique studio, and £1,700–£6,000/day for a management consultancy. Project totals follow the same premium, sitting at the upper end of the UK market range. We quote against actual project scope rather than a fixed rate card.
Do you only recommend Claude?
No. We're vendor-neutral: Claude, GPT, Gemini and open-source models are all on the table, and the recommendation is driven by capability, latency, cost and governance for your specific use case.
Can consultancy lead into a build?
Often it does — the roadmap hands straight into our AI development practice. But it's designed to stand alone: many clients take the roadmap to their in-house team.
How is a boutique AI consultancy different from a large management consultancy?
Who is in the room. Large consultancies separate the people who recommend from the people who deliver, which is why their roadmaps are often unbuildable — nobody advising was constrained by having to build it. A practitioner studio is typically more specific because it has hit the failure modes, cheaper because it needs fewer weeks to reach a defensible answer, and more willing to recommend doing nothing. The trade-off is scale: a boutique cannot staff a 40-person transformation programme.
How long does an AI discovery sprint take?
One to two weeks. Week one is workshops with your team plus a review of your data and systems; week two is analysis, model selection and building the costed roadmap. Two weeks is the right length when several workflows are in scope or the data needs real investigation.
Do we need AI consultancy if we already know what we want to build?
Often not, and we will tell you so. If you can already answer three questions — which workflow hurts most measured in hours or pounds, who owns the system internally after handover, and what "working" looks like as a number — you can usually go straight to a build. Consultancy is for when you cannot answer them, or when the cost of building the wrong thing is high enough to justify two weeks of checking.
Book a discovery call
Tell us where you are with AI and we'll suggest the right shape of engagement. Or email hello@brashpixels.com.