Fig. 01 · Answer
How do you know if an AI pilot is ready for production?
COOs, IT leaders, data leaders, and function owners deciding whether to scale an AI pilot.
The short answer
An AI pilot is ready for production when the workflow has a named owner, approved source material, permissions, human review, testing, exception handling, training, support, logging, rollback rules, and a measurement cadence. A demo is not production readiness.
What informs this answer
Selected results from related operator-led engagements, by industry and scale:
- 90-Day AI Implementation Sprint service published
- Managed AI Workflow Support service published
- 28,000-user migration with zero downtime
What to ask next
What turns a pilot into a production workflow?
Production requires owners, permissions, review rules, training, monitoring, incident handling, and value review after launch.
Who should approve production launch?
The business owner, IT or data owner, risk owner when needed, and the leader accountable for the outcome should approve launch.
What happens after launch?
Review quality, usage, incidents, user feedback, cost, value, and vendor changes before expanding scope.
Answered by Justin Leader · Human Renaissance · Updated 2026-04-30 · Research methodology
