Before your engineers spend a quarter building an AI feature, spend one to two weeks finding out if it's feasible, viable and something users actually want. I've run dozens of discovery sprints, including ones that informed million-dollar investment decisions, and stopped unviable concepts before they burned budgets.

The cheapest AI feature is the one you wisely never build.

Assumption mapping: what has to be true for this to work.

Feasibility check: can current models actually do this reliably?

Desirability research: lightweight user testing of the core concept.

Viability maths: rough costs to build and run versus value created.

A clear recommendation: build, reshape, or skip, with reasoning.

Product leaders deciding whether an AI idea deserves a roadmap slot, and founders deciding whether it deserves their next six months.

Discovery findings report

Feasibility assessment with model testing evidence

Concept prototype or storyboard used in testing

Build/reshape/skip recommendation

1 to 2 weeks.

$3,000 to $7,000.