AI readiness & roadmap
An honest read on what your data and team can support this year.
The problem
What usually brings people here.
There is pressure from the board to be doing something with AI, a list of ideas from a workshop, and no clear read on which of them your data and your team can actually support this year. The expensive mistake is starting the one that needs data you do not have.
What we do
How the work actually runs.
Two to three weeks. We look at the data you actually hold, the systems it would have to reach, and the people who would run the result. You get each idea scored on value and feasibility, a recommended first project with its failure mode written down, and a plain statement of which ideas are not viable yet and what would change that.
How this runs
Design, develop, refine.
Design
Two to four weeks. We scope with the engineers who will build it, so the estimate comes from the people held to it.
Develop
Two-week increments, demoed to you, shipped behind flags. You see working software in week three, not a status deck.
Refine
The squad stays. Lead time comes down, the backlog gets shorter, and the same people know why every decision was made.
Proof lives on the work page.
We publish numbers per engagement, cleared by that client, rather than per service line. What is written up there is what we are allowed to show.
Also in AI Engineering
Related services.
Start a conversation
Tell us what you are trying to ship.
You will get a reply from an engineer, not a form handler. If we are not the right firm for it, we will say so and tell you who is.