Opportunity mapping
We interview the people doing the work and trace where time, money and errors actually accumulate. The output is a list of candidate use cases grounded in observed process, not in a workshop whiteboard.
Services
AI Consulting
Find the right first move before you build.
- Duration
- 2–4 weeks
- Price
- From £18,000
- Basis
- Fixed scope, fixed date
- Runs on
- Your infrastructure
Most AI programmes do not fail on the model. They fail because the wrong thing got built first — a use case picked because it was easy to demo, not because it moved anything. This engagement exists to stop that happening. We spend two to four weeks inside the business, come back with a ranked set of opportunities, and are specific about which one to start on and what it is worth.
A fit when
- Too many possible AI use cases and no clear priority
- Leadership buy-in, but no practical first move
- A team that needs clarity before anything gets built
You leave with
- A ranked AI opportunity map with sizing and confidence for each entry
- A written feasibility note per candidate, including the ones we recommend dropping
- A build-ready scope for the first use case, with architecture and evaluation plan
- A risk and compliance register covering data handling, PII and model dependency
- A readout session with the leadership group, and the deck to reuse internally
What's included
How the engagement is put together. Every piece below is in the fixed price. Nothing here is an optional extra we quote for later.
Feasibility and data review
For each candidate we check the unglamorous things: does the data exist, is it accessible, is it clean enough, and what would the model actually need to be right about. Several ideas usually die here, which is the point.
Sizing and ranking
Every surviving use case gets a value estimate, a build estimate and a confidence rating. You get the arithmetic, not just the conclusion, so your finance team can argue with it.
A build plan for the first one
The top-ranked opportunity gets scoped properly — architecture, evaluation approach, integration points, risks and a cost envelope — so it can go straight into a build without a second discovery phase.
Timeline
What happens, and when. Dates are agreed at scoping and do not move without you agreeing to it in writing.
- 01Week 1
Get close to the work
Interviews, process shadowing, and a look at the systems and data involved. We correct our assumptions here rather than at the end.
- 02Week 2
Test the candidates
Feasibility checks against real data and real constraints. Where a technical spike is the fastest way to answer a question, we run one.
- 03Weeks 3–4
Size, rank and scope
The arithmetic on value and effort, the ranking, and a build-ready scope for whatever comes out on top.
Related work
What this looked like in practice.
FAQ
Questions about AI Consulting. The site-wide questions are answered on the FAQ page.
What if the answer is that we should not build anything?
Then we say so, and we say it in week two rather than week four. It happens on a minority of engagements and it is a cheaper outcome than discovering it six months into a build. You still keep the opportunity map and the feasibility notes.
Do we have to use you for the build afterwards?
No. The scope we hand over is written so any competent team can execute it, including yours. Roughly half of these engagements continue into an Automation build with us; the rest do not, and that is a fine outcome.
How much of our team's time does this take?
Expect around two hours a week from a sponsor, and three to five interviews of an hour each across the people who do the work. We do the rest.
Other services
Not quite the right shape? The other two engagements, and when each one is the better call.
Get started
Let’s find out what AI is actually worth to you.
A 30-minute call, no deck. Bring the workflow that frustrates you most and we will tell you whether it is worth automating.
Typically replies within one business day.