// 03 service
AI Strategy & Build
We know we should be using AI, but we do not know where to start, what is worth it, or who to trust to build it.
What we do
We take you from “we should do something with AI” to a working solution in production. That means finding the use cases that pay back, testing them quickly, and building the first one properly.
How an engagement works
- Discovery. We interview the people doing the work and list where AI could help, ranked by value, effort and risk.
- Prototype. We build a small working version on your real data so you can judge results, not slides.
- Build. We take the winning prototype to production with monitoring, testing and clear limits on what it may do.
- Handover. We document it, train your team, and agree what to improve next.
Relevant experience
We bring experience across regulated banking and major UK infrastructure programmes, where reliability and governance matter as much as the idea. We bring that care to AI work at a scale that suits an SME.
Common questions
Where should we start with AI?
With a specific, costly task that people already do repeatedly. We help you list candidates, estimate the value and the risk of each, and pick one to prove first.
How much does it cost?
We start with a short discovery that ends in a ranked shortlist and a build estimate. The first build is scoped tightly so you know the cost before committing.
Will it work with our data and systems?
That is the first thing we check. If your data is not ready, we say so and suggest the smallest fix, rather than building on weak foundations.
Do we need to hire AI specialists?
Not to begin with. We build in a way your existing team can operate, and we advise on when a hire would actually pay off.