AI development
AI consulting that ships
We help companies choose an AI use case they can actually build, then we prototype it. When the prototype holds, the same team can take it into production.
The problem
Teams collect ideas faster than they can test them. A workshop ends in a shortlist, and six months later nothing is running. The cost is the time spent debating options that had no data, no owner, or no tolerable error rate.
Consulting here is a sequence with an artifact at the end: a scored shortlist, a prototype on real inputs, and a build plan with scope, risks, and what “good” means. You can stop there, or continue with us into the build.
What we deliver
A scored shortlist
Use cases ranked by value, data you already have, and the cost of a wrong answer.
An architecture and plan
What to build first, what to leave manual, and how the pieces connect to current systems.
A prototype on real inputs
A thin version your team can try, so the decision is based on output, not a slide.
A path into the build
The same people who scoped the work can stay and ship it, so the plan does not get reinterpreted.
How we work
01
Talk to the operators
We interview the people who do the work, not only the sponsors of the project.
02
Score the options
We drop ideas that lack data, an owner, or a clear definition of success.
03
Prototype the strongest one
We build a narrow version on real examples and review the failures together.
04
Decide the next step
You leave with a plan. If you want it built, we scope that engagement from the prototype.
Related work
A project in this line of work. The write-up covers the problem, what we built, and the result.