How to Write an AI Governance Policy in 2026 (With Examples)

An AI governance policy is a critical document that outlines how an organization develops, purchases, deploys, and uses AI systems, acting as a bridge between high-level principles and day-to-day decisions. With many organizations lacking formal AI governance policies, the guide provides a comprehensive step-by-step process to create one by 2026, emphasizing the importance of inventorying existing AI usage, forming a cross-functional drafting team, anchoring to established frameworks like the NIST AI Risk Management Framework, and iteratively drafting and piloting the policy. The document also highlights the significance of ensuring the policy is enforceable and regularly updated, as well as the practicality of using templates and examples from institutions like the University of Maryland Baltimore and the State of Alabama Office of Information Technology. Successful implementation involves not just drafting but also training, rollout, and ongoing review to adapt to regulatory changes and organizational needs.

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