What turns a pilot into a production workflow?
Production requires owners, permissions, review rules, training, monitoring, incident handling, and value review after launch.
RELATED PAGE AI Pilot vs. AI Production WorkflowSHORT ANSWER
The short answer, with operator context.
Start here. The longer context and related questions follow below.
- 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.
- BEST FIT
- COOs, IT leaders, data leaders, and function owners deciding whether to scale an AI pilot.
- RECOMMENDED START
- 90-Day AI Implementation Sprint
RELEVANT RESULTS
Outcomes that inform this answer.
Selected results from related operator-led work.
-
90-Day AI Implementation Sprint service published
RESULTS View results -
Managed AI Workflow Support service published
RESULTS View results -
28,000-user migration with zero downtime
RESULTS View results
NEXT QUESTIONS
What to ask next.
Each follow-up question opens the next issue and points to a relevant page.
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.
RELATED PAGE AI Governance, Policy, and TrainingWhat happens after launch?
Review quality, usage, incidents, user feedback, cost, value, and vendor changes before expanding scope.
RELATED PAGE Managed AI Workflow SupportRELATED PAGES
Where to go next.
Open all answers- PAGE 90-Day AI Implementation Sprint /ai/90-day-ai-implementation-sprint
- PAGE AI Pilot vs. AI Production Workflow /intelligence/ai-pilot-vs-production-workflow
- PAGE Managed AI Workflow Support /ai/managed-ai-workflow-support
- PAGE AI Governance, Policy, and Training /ai/governance-training
- AI Governance
- AI Production
- Implementation Risk