Deployment Lifecycle
From pilot to production with controlled escalation.
Every deployment phase has governance checkpoints, security reviews, and operational ownership requirements. This ensures AI systems move to production without destabilizing core operations.
Discovery
Data mapping, residency validation, and ownership alignment.
Controlled Pilot
Governed workflows with approval gates and audit logging.
Production Hardening
Monitoring, incident response, and reliability testing.
Scale
Operational handoff, KPI tracking, and governance renewal.
Lifecycle governance prevents drift.
The deployment lifecycle keeps AI systems aligned to operational controls, ensuring every phase has explicit oversight.