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Compliance & Governance

Write a simple AI use policy your team will follow

How-toLast reviewed Jul 8, 20265 min read

In short

An AI use policy is a short document your team can use without a lawyer in the room. It isn't complicated. It tells people what tools are approved, what they can't paste, when a person must check output, and who handles exceptions. One page is enough to start.

Your team is probably already using AI at work, with or without permission. That's the point. A use policy isn't there to slow them down. It draws bright lines, so nobody pastes a customer's private data into a public chatbot. You can write a useful one in an afternoon.

What to include

  • Approved tools.Name which AI tools are okay for work, and which aren't. A short allow-list beats "use good judgment" every time.
  • What never to paste in.Draw the red line clearly: customer data, passwords, contracts, and anything confidential. Don't paste it unless the tool is approved and privacy settings are right.
  • What needs a human check.Say which outputs a person must review before they're used. Don't skip customer-facing work, legal language, financial numbers, or decisions about people.
  • Disclosure.Say when you'll tell customers or staff that AI was involved. Keep it tied to the work, not a vague principle.
  • Who owns the output.Make ownership blunt. AI output is a draft your team owns, and it doesn't ship unread.
  • Who to ask.Name the person for questions and exceptions. If you don't, people will guess.
  • How to ask for an exception.Give people a simple way to ask, "Can I use X for Y?" Then the policy can bend without breaking.

A one-page starting template

AI use policy — [Company] — [date] 1. Approved tools: [list]
2. Never paste in: customer data, passwords, contracts, [add yours]
3. Always checked by a person before use: [customer-facing / legal / financial / …]
4. Disclose AI use when: [cases, or "not required"]
5. You own what you send: AI output is a draft you're responsible for.
6. Questions & exceptions: ask [name / channel]
7. Review date: [every 6 months]

Keep it short enough to enforce

A policy nobody reads protects no one. Keep it short. Fit it on a page, use plain words, and make the two rules impossible to miss. What can't people paste? What needs a human check? You can add detail later when a real situation demands it.

Review it when the tools change

AI tools change monthly. Don't treat the policy like stone. Put a review date on it, then keep that date. A new tool, feature, or type of work can move a bright line. A living one-pager beats a perfect document that's already stale.

Note: this is practical guidance, not legal advice. If you're in a regulated field or handling sensitive data, have a qualified professional review the policy before you rely on it.

Apply this

DPR builds the checks a policy asks for straight into your AI systems. No shelfware. Data controls, human review, and logging sit inside the workflow, so the policy isn't just paper. It's especially for regulated teams.

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