Case Study: Turning AI Ideas into Buildable Product Scope

Client: A founder-led team with a list of AI ideas but no clear product workflow, data boundary or launch path.

Challenge: The team was at risk of building a model demo instead of software that fit the business process, user review points and compliance expectations.

Approach: We mapped the workflow first, scored use cases by data availability and operational value, then defined the MVP around agent tasks, human review and measurable outputs.

Outcome: A focused AI build plan with less model risk, clearer scope and a path from prototype to production.