AI Consulting
Most AI programmes stall between the pilot and the P&L. We find the two or three use cases that actually pay, prove one in a matter of weeks, and stay until it is running in production with your team owning it.
What you can rely on
The blocker is almost never the model. It is everything around it — unclear value, unusable data, and no route to production.
The demo works on a laptop and dies on the way to production because nobody scoped evaluation, monitoring, failure handling, or who owns it on Monday morning.
Teams build what is technically interesting rather than what moves a number. Without a value model, there is nothing to defend at the next budget round.
Access, quality, lineage, and consent problems surface halfway through the build. We surface them in week one, when they are still cheap.
Without an evaluation harness and a baseline, "it seems better" is the only available verdict — and that is not enough to keep a system funded.
Start here
From a vague ambition to a funded, de-risked plan in three weeks.
What is included
Fixed scope and fixed price from day one. Everything produced is yours, whether or not you continue with us.
Book a Discovery CallDeliverables
Artefacts you can act on, hand to another supplier, or take to a board.
Portfolio-level prioritisation, funding cases, and sequencing across multiple teams.
Workflow-level analysis to find where automation or augmentation actually pays.
A working system against real data, built to be extended rather than thrown away.
Retrieval design, context strategy, model selection, routing, caching, and cost control.
Tool use, planning, guardrails, and the human checkpoints that keep autonomy safe.
Offline evals, online monitoring, regression suites, and drift detection.
Deployment pipelines, versioning, rollback, and the operational base a model needs.
Risk classification, documentation, oversight design, and audit readiness.
Pairing, code review, and structured handover so your engineers own what we build together.
Week 1
Workflow interviews, data access review, and constraint mapping. We finish with a scored opportunity map and a recommendation on what to prove first.
Weeks 2–3
One use case built against real data, with an evaluation harness so the result is a number rather than an impression.
Weeks 4–10
Production concerns: latency, cost per call, failure handling, monitoring, access control, and human oversight.
Ongoing
Live support, evaluation against real usage, model and prompt iteration, and structured handover to your team.
Engagement models
Indicative starting points, not quotes. You get a written price for your specific scope before any work begins.
Lowest-Cost Entry
Fixed-scope diagnostic ending in a prototype and a costed plan.
Starting Price
From $18,000
Best For
You know AI matters but cannot yet defend a specific investment.
A defined system delivered to an agreed scope, date, and price.
Starting Price
From $60,000
Best For
The problem is understood and the requirements are stable.
Our specialists working inside your team, on your board, to your priorities.
Starting Price
From $14,000 per specialist per month
Best For
Scope will move, and you want capability transferred as you go.
Fractional AI leadership: architecture review, hiring input, and governance.
Starting Price
From $6,000 per month
Best For
You have a team but no senior AI voice in the room.
Every option is scoped and priced in writing before delivery begins. No surprise invoices or automatic upgrades.
FAQ
The things prospective clients ask us most often about this service.
Ask us something elseClients rarely need only one of these. Combining them under one contract is what removes the handover gaps.
Thirty minutes with the engineer who would run your project. You leave with a scope, a cost range, and a recommended next step — whether or not you work with us.
A 30-minute call with an engineer, not a salesperson. You leave with a scope, a rough range, and a recommended next step — whether or not you work with us.
