Many organizations have an AI usage policy that employees have never read, let alone follow. The problem is rarely the content — it's how the guidelines were created and communicated.
Involve employees in drafting, not just receiving
Guidelines built with input from the people who'll actually follow them tend to reflect real workflows, and get far more buy-in than policies written entirely by legal or IT.
Explain the "why" behind each rule
A rule with no stated reason invites workarounds. A rule explained in terms of real risk — data privacy, brand consistency, accuracy — is far more likely to be respected.
Make it easy to find and easy to read
Guidelines buried in a shared drive nobody opens might as well not exist. Keep it short, accessible, and referenced regularly, not just announced once.
Update it publicly when tools change
When you revise guidelines as tools evolve, communicate the change clearly. Guidelines that quietly go stale lose credibility even when they're eventually updated.