The gap between an AI ambition and an AI capability is rarely a model problem. It is an ownership problem. When everyone is exploring, nobody is accountable for turning that exploration into a result.
The innovation theatre trap
Most leadership teams can name a dozen potential use cases. Far fewer can name the executive who owns the commercial outcome, the product team responsible for delivery, and the boundary conditions for data, risk, and adoption.
Accountability turns AI from a portfolio of demos into an operating capability.
A simple ownership model
Start with one accountable executive, one measurable workflow, and one cross-functional delivery team. Give that team access to the users doing the work and a short route to production. Governance should clarify the route—not become the route.
1accountable executive
90 daysto production evidence
3metrics: value, adoption, risk