More organizations now have an AI usage policy. Fewer have one their people actually follow. The difference usually isn’t strictness. It’s whether the policy answers the questions staff face every day: Can I use this tool? Can I paste this? Who do I ask?
Here is a practical structure we use when helping teams write their first AI policy.
Why most AI policies fail
- They’re written for lawyers, not for the people using the tools.
- They ban AI outright, which pushes use underground instead of stopping it.
- They never name specific tools, so staff can’t tell what’s approved.
- They’re published once and never reviewed, while the tools change every month.
The seven sections every AI usage policy needs
- Purpose and scope. Who the policy applies to (staff, contractors, interns) and which tools it covers, including AI features built into existing software.
- Approved tools. A named list of approved AI tools and accounts, with a simple process to request a new one.
- Data rules. A traffic-light model works well: red data is never entered into AI tools, amber data only into approved tools, green data is public information.
- Human review. AI output is a draft. A person checks anything sent to clients, used in decisions or published.
- Vendor and integration approval. New AI integrations, plug-ins and agents are reviewed for data handling and access before they connect to company systems.
- Reporting mistakes. A no-blame way to report when sensitive data was entered by accident, so it can be contained quickly.
- Ownership and review. A named owner and a review date, at least every six months.
Make it easy to follow
- Keep the core policy to one or two pages, with examples from your own work.
- Give people an approved tool for common tasks, so they don’t need a workaround.
- Have the owner approve it and every team member acknowledge it.
- Pair it with short standard operating procedures for high-risk tasks.
Map it to the frameworks you already use
If you answer to HIPAA, client security questionnaires or public-sector buyers, connect the policy to controls you already track. ISO/IEC 27001 Annex A (supplier relationships, acceptable use, access control) and the NIST AI Risk Management Framework’s Govern function are natural homes for AI policy requirements.
Get a policy written and approved in weeks
The HCISS 90-Day AI Adoption Readiness engagement includes a written, owner-approved AI usage policy and SOPs, built from an inventory of the tools your team actually uses. Fixed price, fixed scope, two to four weeks.
Ready for a policy your team will actually follow?