Enterprise AI Assistant — Pilot to Production
Challenge
A successful AI proof-of-concept had no path to production: unclear ownership, ungoverned data access, and no success metrics beyond the demo. Leadership needed confidence the tool could be deployed safely and deliver measurable value.
Approach
Stood up a program structure with stage gates from pilot to production. Coordinated data, platform, security, and business teams on one cadence; defined business success metrics; established governance checkpoints for privacy and model risk; and managed vendor and compute planning through deployment.
Outcome
The AI assistant deployed to production on schedule with monitoring and governance handed to a named internal owner. Adoption was tracked across departments against the agreed success metrics, and the program transitioned to a sustaining operating cadence.