Every engagement ends in handover.
Most AI projects fail in the gap between the slide and the system. We close that gap by putting engineers inside your team to find the requirements no one has written down yet.
We come to your desks.
Two hours. Your team, our engineers, and the real work on the table: tickets, spreadsheets, the workflow everyone complains about. No procurement, no statement of work. We map where the leverage actually is.
You leave with the single highest-leverage AI opportunity, identified and scoped, whether or not you build it with us.
What you leave with
The opportunity
The one problem AI can move, with the constraints made explicit.
The verdict
An honest read on whether it’s worth building, and what it takes.
How long it takes
Measured in weeks. Governance posture set from day one.
Three moves until it ships.
Immerse
We sit inside the work until the real constraints surface. We learn your data, your edge cases, the thing that breaks at 4pm on a Friday.
Spot
We find the one problem with the highest leverage-to-effort ratio, the one AI can move in production, not in a demo.
Execute
We build, ship to production, and hand over a system your team owns. Documented, governed, and yours to run.
What the 6–10 weeks look like.
Discovery
The immersion. We scope the opportunity and the data reality.
Build
Forward-deployed engineering against real data, in short loops.
Ship
Into production, onshore and governed. Measured on the live workflow.
Handover
Docs and ownership transferred. Your team runs it.
Two ways into one method.
Forward-deployed
We embed with your team, find the highest-leverage problem, and ship it: 2-hour immersion to client-owned handover in 6–10 weeks.
Startup builds
No team to embed into yet? For funded startups we build the product end to end: same engineers, same gates, same client-owned handover. It still starts with the immersion; the work on the table is your product.