Your employees are using AI tools. The question is whether they are doing it with guidance or guessing. An AI acceptable-use policy is the guidance: a short, clear document that tells your team how AI may and may not be used at work. It is one of the simplest, highest-value steps in getting your business ready for AI.

Why a policy beats a ban

The instinct is often to ban AI tools. Bans do not work: they are unenforceable, they push use into hiding, and they give up a real productivity advantage. A policy does the opposite. It lets your team use AI's benefits while drawing clear lines around the risks.

The goal is not a long legal document. It is a page or two that a normal employee can read, understand, and actually follow.

What the policy should cover

A practical AI acceptable-use policy answers a handful of questions clearly.

What information must never go into public AI tools. This is the most important section. Be specific and concrete: customer data, employee data, financial details, contracts, passwords and credentials, confidential business information, anything covered by a regulation. The simple rule to give people: if you would not post it publicly, do not paste it into a public AI tool.

Which tools are approved. List the AI tools the business has sanctioned, ideally including at least one business-grade option with proper data protections, and make clear that approved tools are preferred over random free ones.

When AI may be used — and for what. Describe the encouraged uses (drafting, summarizing, brainstorming, research starting points) so people feel free to use AI well.

When output must be checked. Make it a firm rule that AI output is a draft, never a final answer. Anything going to a customer, into a decision, or out into the world must be reviewed by a person. AI can be confidently wrong.

Who to ask. Give people a point of contact for questions: "not sure if this is okay? ask first."

Keep it short and human

A policy nobody reads protects nobody. Write it in plain language, keep it to a page or two, and use concrete examples rather than abstract rules. The test is whether a new employee could read it in five minutes and know what to do.

Roll it out, do not just file it

Writing the policy is half the job. To make it real:

  • Tell the team about it — walk through it briefly, do not just email a PDF.
  • Include it in onboarding so every new hire starts with it.
  • Pair it with approved tools — a policy that says "do not use public tools" is unfair without a sanctioned alternative.
  • Invite questions and treat them as a good sign.

Keep it current

AI tools change quickly. Revisit the policy at least once a year, and update it when you approve a new tool or the landscape shifts. A policy frozen in time slowly stops matching reality.

The takeaway

An AI acceptable-use policy turns risky, invisible AI use into guided, confident AI use. Keep it short and concrete, cover what data is off-limits and which tools are approved, insist that output is checked, roll it out properly, and keep it current. It is a small document with a large payoff. It reflects exactly the kind of deliberate governance NIST recommends for AI.

If you would like help writing a practical AI policy that fits your business, the Flexnet Networks team can draft one with you.

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