How to Draft an AI Policy in Late 2026

As of late 2026, companies need an updated AI policy that goes beyond basic acceptable use to address AI as a core operational layer. An effective policy must establish responsible AI adoption, implement risk governance and compliance controls, and protect against security threats. Key steps include reviewing evolving global regulations like the EU AI Act, conducting a comprehensive AI inventory to understand current usage, and building the policy around a risk-based tier system with appropriate controls.

• AI policies written before late 2026 are likely outdated due to AI becoming an embedded operational layer and evolving regulations.
• An effective AI policy must now aim for responsible adoption, risk governance, compliance controls, and protection against security threats.
• Companies must comply with new regulations, such as the EU AI Act’s enforcement phase, which includes transparency requirements for AI interactions, deepfakes, and biometric systems.
• A comprehensive AI inventory is crucial to identify all AI systems in use, how they are utilized, and by whom, including ‘shadow AI’.
• An AI policy should be structured around risk tiers, with different levels of controls and procedures for each tier of AI system.
• AI policies are living documents that require continuous updates to respond to organizational changes, compliance requirements, and technological developments.
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