When Is an AI Service Ready to Return?

When an AI feature fails, restoring the service does not automatically mean the workflow around it is dependable again. A temporary fallback may still be protecting users while teams investigate what changed and what remains uncertain.

What evidence should guide the decision to retire that fallback? How should regression checks, unresolved user reports, and clear ownership of ongoing monitoring affect the timing?