Five phases. A named deliverable at the end of each one. No phase starts until you've seen what the last one produced.
We sit with the people doing the work and map where the hours actually go. We look at your data as it really is, not as the documentation describes it. At the end you get an honest read on what AI should touch — and a list of what it shouldn't.
We define the system on paper before we write code: what data it needs, which decisions it makes on its own, where a human reviews or overrides, and the metric that will tell us whether it worked.
Two-week cycles, each ending in something that runs. You review real behaviour on real data rather than a slide describing it, and you can change direction between cycles without renegotiating the whole engagement.
Into your environment, with monitoring, evaluation and a rollback path in place before it handles anything that matters. Your team gets trained on it while it's still fresh, not three weeks later.
Models drift, processes change and edge cases show up that nobody predicted. We keep measuring against the metrics we agreed in phase two and tune as reality moves.
A written update on what's done, what's in progress and what's next — at the cadence we agree at kickoff.
Decisions taken on calls get summarised in writing the same day, so scope never depends on memory.
A named delivery lead who knows your project, not a rotating queue.
Most engagements run eight to fourteen weeks from kickoff to production. Discovery alone is one to two weeks, and it's often enough on its own if you just need clarity on where to start.
Access to the people who do the work, access to the relevant systems, and one decision-maker who can approve direction. Roughly two to four hours a week from your side during build.
Only if you want it to. We regularly deploy entirely inside a client's perimeter. Wherever data goes, it's documented before we build, not after.
You own the code, the documentation and the credentials. Many clients keep us on for tuning and monitoring; others take it fully in house. Both are fine and neither costs you leverage.
Then we say so, usually in discovery, and we point you at what would actually solve it. We'd rather lose the build than deliver something that doesn't earn its keep.
One to two weeks, a clear opportunity map, and no obligation to continue.