How to Create an AI Usage Policy for Your Team
An AI usage policy gives your team a clear, shared answer to questions they are already asking: which tools can I use, what can I paste into them and who checks the results? Without it, people guess, and guesses lead to leaked data, inaccurate content and awkward conversations with customers. A good policy is short and practical, written in plain words and backed by examples. This guide shows how to define approved tools, set data rules, require review and roll the policy out so people actually follow it, with sample wording you can adapt.
Define approved tools
Start with an inventory. Ask the team which AI tools they already use for writing, research, design, meetings and coding. Then decide which tools are approved, which are allowed for non-sensitive work only and which are not permitted. Prefer business accounts with admin controls and privacy commitments over personal accounts. Record the tool, its purpose, the owner who manages access and the date you last reviewed it. Sample wording: staff may use the tools on the approved list for work tasks, and must ask the policy owner before adding a new tool.
Set data rules
This is the most important section. Describe in simple categories what may be entered into AI tools. Public information is fine. Internal information may be used only in approved business accounts. Customer data, contracts, financial records, passwords, health information and source code should not be entered into public tools. Give examples for each category so staff can decide quickly. For general privacy advice, see sharing personal data with AI chatbots, and for staff-focused guidance, AI and privacy at work.
Require review
AI output can contain errors, outdated facts and biased language. State that a person is responsible for anything published, sent to a customer or used for a decision, and that outputs must be checked before use. Define higher-risk areas where review is stricter, such as legal, financial, medical and HR content. Encourage staff to verify facts with primary sources, using a routine like the one in how to check AI answers. Sample wording: you are accountable for work you submit, including text drafted by AI.
Cover disclosure and fairness
Decide when to tell clients, readers or colleagues that AI helped. Many organizations disclose when AI plays a significant role or when contracts require it. Include a rule against using AI to create misleading content, impersonate people or generate fake reviews. For decisions about people, such as hiring or performance, require extra care and human judgment, as explained in AI hiring tools: fairness, bias and what to ask vendors. The principles in AI ethics basics can guide your wording.
Roll it out
- Draft the policy on one or two pages with a one-page summary.
- Ask a few employees from different roles to read it and say what is unclear.
- Finalize it with input from management, IT, legal or compliance and HR where available.
- Run a short training session using real examples and let staff ask questions.
- Publish the policy where everyone can find it, and name a contact person.
- Review it every six months and after any incident.
Plan for mistakes
Staff will occasionally paste something they should not or publish an error. Make it safe to report problems quickly. Explain what to do: stop using the tool for that task, tell the policy owner, delete data if the tool allows it and change any exposed passwords. Treat reports as learning opportunities unless there was deliberate misuse. A calm response encourages honesty and shortens the time to fix issues.
A short sample
Use only approved AI tools. Do not enter customer data, contracts, passwords or confidential plans into public tools. Check every fact, number and quote before you share AI-assisted work. Tell your manager if you are unsure or if something goes wrong. These four sentences already prevent many problems, and you can add detail as your needs grow. For a larger framework, read how to build an AI policy for your company.
Common mistakes when writing the policy
- Writing long legal text that nobody reads.
- Forgetting to include examples of allowed and forbidden uses.
- Making rules without asking the people who use the tools.
- Never updating the policy after it is published.
Short, clear and regularly reviewed policies work best, because people can remember them and apply them under pressure.
Frequently asked questions
How long should an AI usage policy be?
One to two pages plus a one-page summary is enough for most teams.
Should we ban AI tools completely?
A ban often drives use underground. Approved tools with clear rules are usually safer.
How often should we update the policy?
At least twice a year, since tools and laws change quickly.
