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    An AI policy (sometimes called an AI acceptable use policy) is an organizational document that establishes the rules governing how employees can use AI tools. A comprehensive AI policy typically covers:

    • Which AI tools are approved, restricted, or prohibited
    • What types of data can and cannot be shared with AI tools
    • Who can approve new AI tools and through what process
    • Requirements for employee training on AI risks
    • Guidelines for AI use in specific contexts (customer communications, code generation, data analysis)
    • Consequences for policy violations
    • How the policy is reviewed and updated

    The best AI policies are living documents that evolve as the organization's AI landscape changes — not static PDFs that become outdated within months.

    Why it matters

    A policy without enforcement is just a suggestion. Effective AI policies are backed by technical controls (blocking unapproved tools, DLP for AI services) and operational processes (request workflows, review cadences).