AI usage policy is the written document that tells staff which AI tools they may use, for what work, with what data, and who is accountable for the output. It is the artifact a regulator or customer asks to see, and the one most companies improvise too late.
What does an AI usage policy have to answer?
Four questions, concretely: which tools are approved, which data must never be pasted into them, who owns the accuracy of AI-assisted work, and where someone goes when the policy does not cover their case. The accountability line is the one that changes behavior, because it removes the assumption that the tool is responsible for the output, which is the root of workslop. Everything else is detail that can move to the AI governance record.
Is a policy on paper the same as a policy in force?
A document restrains people; it does not restrain software. Once agents act on their own, the rules that matter are the ones enforced at runtime, which is the job of an agent policy engine rather than a staff handbook. Keep both, and keep them consistent. Pair the policy with genuine AI literacy training and a record of who completed it, since that combination is what evidences the duty and feeds your wider AI compliance file.
Frequently asked questions
How long should an AI usage policy be?
Short enough that a new joiner reads it on day one. One page covering approved tools, banned data, the accountability rule and where to ask questions beats twenty pages nobody opens. Depth belongs in the governance record, not in the staff-facing document.
Does a written policy satisfy the EU AI Act AI literacy duty?
Not by itself. The duty, which has applied since February 2025, is about ensuring staff have sufficient understanding, so the evidence is a policy plus training plus a record of who received it. The Act prescribes no template, which is why organizations must document their own measures.
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