Every engagement ends in production.
Most AI projects fail in the gap between the slide and the system. We close that gap by working inside your team to find the requirements no one has written down yet. What happens once it is live is a separate question, and it is yours to answer.
We come to your desks.
Two hours. Your team, the engineer who would build it, 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.
Three moves until it ships.
What an engagement looks 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.
Continue
Live, documented, and measured. You decide who operates it from here.
One way of building. Three ways it continues.
A system that reaches production still has to be run. Some teams have the people for that and want the keys. Some would rather we kept the pager. Some want to take the thing to their market with us. We fit the arrangement to the work in front of us.
None of these is the house answer. The build is identical in all three: governed from the first commit, documented as it is written, and portable by construction. That is what makes the choice a real one rather than a formality, and it is agreed in writing before the build starts, not negotiated once you depend on us.