Find the AI use cases worth building.
Most companies do not have an AI problem. They have a shortlist problem: too many plausible ideas and no way to tell which one pays back. The sprint is how you find out before you commit a budget to it.
How it runs
Map the work
We sit with the people doing the job and follow the work as it actually moves, not as the process diagram says it does. Every hand-off, every re-key, every spreadsheet.
Score the opportunities
Each candidate gets sized on the two things that matter: what it saves or earns, and what it costs to build and run. Most ideas die here, which is the point.
Prove one
We take the strongest candidate and build enough of it against your real data to know whether it works. A demo you can click, not a slide that says it should work.
Plan the build
The winning use case comes back costed and sequenced, with the integrations, data and risks named. You can hand it to us, to your team, or to nobody.
What you leave with
Three things, all of them yours whether or not you build with us.
A ranked list of use cases
Every opportunity we found, scored on impact and effort, with the ones we recommend against and why.
One working proof
The strongest candidate, built far enough against your data to settle the question of whether it works.
A costed build plan
Scope, sequence, integrations and a real number. That is enough to make a decision or a budget request with.
Book a sprint.
Tell us roughly where the work hurts and we will tell you whether a sprint is the right thing, or whether you already know your answer.
Book a call