AI consultancy in the UK
You still have a question, not a spec. Serious AI consultancy UK work means two weeks on feasibility, use cases and a build plan — then the same people write the code if the idea is worth it. If you only want a deck, we are the wrong firm.
Pixelfield is the AI consultancy CTOs and Heads of Product at scaleups and mid-market companies (50 to 500 people) hire when AI is on the roadmap but the team cannot spare the capacity to scope, architect and ship it. The seniors who pitch the work are the seniors who write the code. No bait and switch. No handoff to a delivery partner who never sat in the scoping room.
50+ AI features shipped to production- Same senior engineers, scope to code
- Discovery from £5,000, fixed-price phases
- You own all code, models and docs
When you need AI consultancy in the UK, not a vendor pitch
Advice without a build path is a slide deck
You do not need another 40-page "AI opportunity" PDF. You need prioritised bets, rough cost bands, and a clear no on ideas that will not pay back. That is the job of AI consultancy, not a vendor pitch.
We sit with engineering constraints
Data quality, security, team capacity, vendor lock-in. Recommendations that ignore how your team actually ships do not survive Monday morning.
Honest about DIY vs hire
Sometimes the right answer is a tool and a junior. Sometimes it is a focused build. We say which, even when that means less work for us.
Wrong firm if…
If the decision is already made and you need a stamp, we are the wrong firm. We are useful when you still want pushback.
Two weeks of AI consultancy, then a yes, a no, or a build
Discovery (Week 1-2)
Stakeholder interviews with product, engineering, data and compliance. A hands-on audit of your data (schemas, quality, lineage, access), your infrastructure (cloud footprint, identity layer, observability) and your regulatory environment. We talk to three to eight people, not fifty. We do not ask you to fill in a 200-cell maturity spreadsheet.
You receive: a feasibility report, a use case map, a priority matrix, and a recommendation on which use case to scope next. Some clients stop here with a clear picture of what's possible. Most move into scoping.
Scope and Architecture (Week 3)
For the top use case we design the architecture, pick the model and vendor, map the integration path, scope the build and price it. Everything is written so your internal team or another vendor could execute it. No dependency on us to read the document.
You receive: an architecture proposal, a week-by-week build plan, a fixed-phase cost estimate, a risk register and an integration blueprint covering APIs, data contracts and security boundaries.
Build (Weeks 4-12+)
Design, engineering, testing and integration. Iterative, with a client review every one to two weeks. The same senior engineers who ran discovery write the production code, under an AI engineering lead (Michal Vavra). No handoff to a separate delivery team, no offshore pool, no junior churn.
You receive: a working AI system in staging, then production. Evaluation harness, observability, audit logging and documentation ship with the system, not after.
Launch and Post-Launch (optional retainer)
Deployment, monitoring setup, documentation and a handover session with your team. Post-launch, you can take the system in-house or keep us on a monthly retainer for drift detection, retraining, cost tracking and SLA-backed incident response.
You receive: a live production system, a monitoring dashboard, runbooks, a documented retraining pipeline and, if you want it, an ongoing relationship with the engineers who built the thing.
What AI consultancy costs in the UK
Frequently Asked Questions
Direct answers to the objections we hear on every scoping call.
Honest comparison: a senior AI engineer in the UK costs £120,000 to £180,000 fully loaded, and a functioning team needs three to five people minimum, plus MLOps and compliance coverage. That is a 12-month hiring effort in a tight market. Consultancy is the faster path to a first validated AI system in production, typically two to three months end to end, after which you can hire with a clear picture of what the team actually needs to do. We often recommend a hybrid model once the first system is live.
Three things. We build what we recommend, same senior engineers from scope to code, no handoff to a separate delivery practice. Mid-market pricing and timelines, discovery from £5,000, time to live system from two months, not 12-month enterprise programmes starting at £250,000. You own all the IP, code, models, training pipelines and documentation, with no vendor lock-in.
Because the engineers who write the roadmap also write the production code. If the plan doesn't survive engineering reality, we catch it during scoping, not six months into a build. The scope and architecture document we deliver in week three is written to be executable, not persuasive. Most clients move straight into build with us; some take the document and execute internally. Either way, the output is something that can be built. If you are still choosing who to hire, start with the AI agency vs consultancy comparison.
Discovery starts from £5,000 and runs two weeks. Scope and architecture is typically one additional week, priced as a fixed phase. A strategy-to-production engagement for a first AI use case runs 8 to 12 weeks total, with costs scoped in the proposal after discovery. Post-launch support is monthly and priced in bands. The fastest we have taken a client from first call to a live production system is two months.
You own all of it. Code, models, fine-tunes, data pipelines, documentation, deployment configurations. No rented layer we hold back. After go-live, you can hand the system to your internal team with a documented runbook and a training session, or keep us on a monthly retainer for drift detection, retraining, cost tracking and SLA-backed incident response. Not a dependency. A choice.
When you already have a capable AI engineering team and you just need extra hands, that is staff augmentation, not consultancy. When you can only afford a strategy engagement and have no plan to build, because a roadmap without build capacity is shelf-ware. And when the underlying business process isn't ready to change, because AI amplifies the direction you're pointed in, it does not create one. We will disqualify these situations on the scoping call.
Scaleup and mid-market is where we do most of our AI consultancy work, companies between 50 and 500 people with a product or operations function that would benefit from AI but no existing AI team. We also work with enterprises on specific, scoped initiatives. Big 4 engagements start at £250,000 and take 6 to 12 months. Our discovery starts at £5,000 and our first production system ships in 8 to 12 weeks.
Related
Related AI work
If you already know what to ship, go to the AI development company page. If the data and owners are not in place yet, start with a readiness audit.