Deployment & Change Management

Deploying an AI system into production represents one of the most critical transitions in the AI lifecycle. Organizations must ensure that systems are released safely, monitored appropriately, and modified through controlled governance processes. This lesson explores deployment governance and change management, examining approval workflows, release controls, rollback planning, change authorization, segregation of duties, and deployment assurance activities. Learners will study how organizations manage AI system changes while maintaining accountability, traceability, compliance, and operational stability. Understanding deployment and change governance is essential for auditors evaluating whether AI systems are introduced and modified in a controlled and trustworthy manner.