Enterprise AI governance should be treated as an integrated project and operational control system rather than a final compliance checkpoint. Effective governance establishes ownership, classifies risk, controls data, validates models, manages security, embeds human oversight, monitors production behavior, and measures business value throughout the AI lifecycle.