Write a Simple AI Policy for Your Small Team

Your team is already using AI. Whether or not you’ve said anything about it, someone on your staff is pasting things into ChatGPT, drafting emails with it, maybe running customer information through a tool you’ve never heard of. That’s not a problem in itself — AI helps people work faster. It becomes a problem when there are no rules, because that’s how confidential data leaks, how embarrassing AI-generated content goes out under your name, and how mistakes get made that nobody owns. The fix isn’t a ban, which never works. It’s a simple, one-page AI policy that tells your team what’s allowed and what isn’t. Here’s how to write one.

You don’t need a lawyer or a ten-page document. A small team needs clear, practical guidelines that fit on a single page and that people will actually read and follow. The goal is to let your team use AI productively while protecting your business from the few things that can genuinely go wrong. Let’s build that policy section by section.

Start With What AI Is Allowed For

Begin on the positive side, because a policy that’s all prohibitions gets ignored. Spell out the work where AI use is encouraged: drafting emails and content, summarizing documents, brainstorming, research you can verify, generating first drafts of routine materials. Making clear that AI is welcomed for this kind of work sets the right tone — you’re not the boss banning a useful tool, you’re the boss setting sensible boundaries around one you want people to use.

This section also right-sizes expectations. By naming the good use cases, you signal that AI is a normal, approved part of how your team works, which encourages the productivity gains you want. It also makes the restrictions that follow feel reasonable rather than paranoid, because they’re carving out specific exceptions from a generally permissive stance. Lead with permission, and the whole policy lands better.

Define What Never Goes Into AI Tools

This is the most important section, because it prevents the costly mistakes. List clearly what must never be pasted into consumer AI tools: customer personal information, financial details, passwords and credentials, confidential business information, and anything legally protected. The rule is simple — if it’s sensitive and you wouldn’t hand it to a random outside vendor, it doesn’t go into a chatbot unless the tool is specifically approved and protected for that data.

Make this concrete with examples relevant to your business, so there’s no ambiguity. “Don’t paste a customer’s full contact and payment details to summarize a complaint — describe the situation generically instead.” Teaching the anonymize-first habit here is worth more than a blanket rule, because it shows people how to still get AI’s help without the exposure. The clearer and more specific this section, the fewer accidental leaks you’ll have, since most happen from people simply not realizing what they were sharing.

Set the Verification Rule

Your policy needs one line about accuracy: AI output must be verified before it’s used or sent, especially anything factual, customer-facing, or decision-driving. AI can state false information confidently, so nothing it produces goes out unchecked. This protects you from the wrong statistic in a published post, the bad figure in a client deliverable, the fabricated fact in a customer email. The person using the AI is responsible for checking its work — that ownership matters.

Pair this with a note on judgment for high-stakes matters: AI is not a substitute for professional expertise on legal, financial, or other serious decisions. Staff should use it to draft and understand, then route anything consequential to the appropriate person or professional. Establishing that AI assists but doesn’t decide keeps your team from over-trusting it on exactly the things where being wrong is expensive. One clear sentence on verification prevents a whole category of problems.

Address Customer-Facing Content and Voice

Include guidance on quality and brand voice for anything customers see. AI drafts should be edited to match your business’s voice and standards before they go out — raw, generic AI output makes your business feel impersonal and interchangeable. The policy should make clear that AI produces the first draft and a human makes it sound like your business, with the real details and personality that AI can’t supply. This keeps your external communications feeling human and on-brand.

It’s also worth a line on transparency where it matters — being honest in contexts where customers would reasonably expect a human, and not using AI to deceive. You don’t need to disclose every minor AI use, but the policy should reflect that your team won’t pass off AI work in ways that breach customer trust. This protects the relationships your business depends on, which is ultimately more valuable than any efficiency gain.

Name Approved Tools and a Point of Contact

Reduce risk by steering your team toward specific approved tools rather than letting everyone use whatever they find. List the AI tools your business has vetted and approved for use, and note that sensitive work requires the business-grade or specifically approved tools where applicable. This prevents the scenario where staff feed company data into random, unvetted apps with unknown privacy practices. A short approved-tools list channels usage toward the safe options.

Finally, give people somewhere to turn. Name a point of contact — you, or whoever handles this — for questions about whether something is okay to do with AI. A lot of mistakes happen because someone wasn’t sure and just guessed. Telling them “if you’re unsure, ask” with a clear person to ask removes that guesswork. It also lets your policy stay short, because the answer to edge cases is “check with this person” rather than trying to anticipate every situation in writing.

Keep It to One Page and Revisit It

Resist the urge to make this comprehensive. A one-page policy that people read and remember beats a thorough document nobody opens. Cover the essentials — what’s allowed, what’s never shared, verify before using, edit for voice, use approved tools, ask if unsure — in plain language, and stop. The whole point is that your team can absorb it in a few minutes and actually follow it. Length is the enemy of compliance here.

AI tools and risks evolve, so plan to revisit the policy occasionally — every several months, or when something changes — rather than treating it as permanent. A quick review keeps it current as new tools appear and new issues emerge. But don’t over-engineer that either; a light periodic check is enough. With a simple, clear, one-page AI policy in place and kept reasonably current, your team gets the productivity benefits of AI while your business stays protected from the handful of things that genuinely go wrong. That balance — enabled but safe — is exactly what a small team needs, and it takes about an hour to write.