AI Policy: Writing Rules People Will Actually Follow

The business problem

Many companies now have an AI policy because a customer, auditor, or board member asked for one — and many of those policies were written once, filed away, and never actually operationalized. A policy that exists on paper but that no employee has read or would recognize in the moment they need it provides compliance cover without providing real risk reduction.

What a usable AI policy actually decides

A working AI policy doesn’t need to be exhaustive. It needs to make a small number of decisions clearly enough that an employee can apply them without asking anyone:

• What data may never go into an AI tool — customer PII, credentials, regulated data, unreleased financial information — a short, specific list beats a vague "use good judgment"
• Which tools are approved — a current, accessible list, not a policy that assumes people will ask before trying something new
• Who to ask about a tool that isn’t on the list — a fast, known path, so the answer to "can I use this" doesn’t default to "just try it"
• What review AI-generated output needs before it’s used — code, customer communications, and decisions about people each warrant a different level of human review before anything ships

Why it matters

A policy nobody has internalized doesn’t change behavior — it only provides a paper trail after something has already gone wrong. Given how easy it is to paste sensitive data into a public AI tool by habit, the policy’s real job is to be memorable enough to interrupt that habit before it happens, not to be comprehensive enough to cite afterward.

Practical guidance

Write the policy short — one page is achievable for most organizations. Pair it with the approved-tools list living somewhere people actually check, not buried in a policy repository. Reinforce it the same way other security awareness habits get reinforced: brief, repeated, role-relevant reminders rather than a single annual read-and-sign.