Enterprise AI Governance Basics

Published February 2026 • 7 min read

AI governance should make delivery safer and faster—not create bottlenecks. The right model sets clear policy boundaries and predictable review pathways.

Governance pillars

Policy: define acceptable use and prohibited scenarios.
Ownership: assign accountable reviewers and approvers.
Monitoring: track incidents, escalations, and remediation quality.

Quick start

Prioritize high-risk workflows first, then phase governance into lower-risk workflows as teams become operationally mature.