Checklist · 5 min read
Pilot to Production Checklist
A governance and operations checklist for approving AI workflows for production — covering architecture, compliance, monitoring, and scale readiness.
Who this is for
CTOs, COOs, VP Engineering, and transformation leaders who need a practical path from AI experimentation to governed production systems — without another endless pilot.
Governance
- Defined data boundaries and approved model providers
- Role-based access and approval workflows documented
- Audit logging for agent actions and human overrides
- Legal/compliance review completed for data handling
Architecture
- Integration points mapped to systems of record
- Human-in-the-loop escalation paths defined
- Error handling and fallback behavior specified
- Monitoring and alerting for cost, latency, and quality
Operations
- Baseline KPIs measured before launch (cycle time, error rate, cost)
- Operations owners assigned and trained
- Runbook for exceptions and model updates
- Parallel operation plan during transition
Scale readiness
- Reusable components identified for adjacent workflows
- Knowledge transfer plan for internal teams
- 90-day expansion roadmap with executive sponsor alignment
Next step
Use this in your next leadership workshop, then pressure-test it with an engineering partner who has shipped production AI in enterprise environments.
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