How to Write an AI Use Policy Employees Will Follow

Employees are already using AI tools to draft emails, summarize documents and write code. In many organizations, this happens without any guidance about which tools are acceptable or what information can be shared with them.

Banning AI rarely works. People find workarounds, and the organization loses visibility of how AI is being used. A clear, practical policy is a better starting point. It protects sensitive information while letting people benefit from tools that genuinely help.

Start with purpose, not prohibition

A policy that opens with a list of prohibitions signals that AI is a threat to be contained. Start instead with why the organization wants people to use AI and what good use looks like.

A short purpose statement might explain that AI tools can help employees work more efficiently, and that the policy exists so they can do this safely, protecting customer, employee and company information.

What the policy should cover

A useful policy answers the questions employees actually have. At a minimum, cover the following.

1. Approved tools. List the AI tools employees may use, and explain how to request a new one. Distinguish between enterprise tools with agreed data protections and public consumer tools.
2. Data rules. Define which types of information can be used with which tools. This is the most important section, and it works best as a simple rule rather than a long explanation.
3. Human review. Make clear that people remain responsible for anything they produce with AI. Outputs must be checked for accuracy before they are shared, published or used in decisions.
4. Transparency. Explain when people should disclose that content was produced with AI, for example in customer communications or formal reports.
5. Intellectual property. Set expectations for using AI-generated content, code and images, including checking that outputs do not reproduce material the organization has no right to use.
6. Prohibited uses. Name the few uses that are never acceptable, such as making decisions about individuals without human review.
7. Reporting issues. Tell people what to do if sensitive information is shared by mistake or an AI tool produces harmful output.
8. Ownership and review. Name who owns the policy and how often it will be reviewed.

A simple rule for data

Most employees will not read a detailed data classification scheme before using an AI tool. A traffic-light rule is easier to remember.

Category	Examples	Public AI tools	Approved enterprise AI tools
Green: public	Published content, general knowledge	Allowed	Allowed
Amber: internal	Internal plans, non-sensitive documents	Not allowed	Allowed
Red: restricted	Customer data, personal data, financials, credentials	Not allowed	Only in approved, specific solutions

Align the categories with any existing data classification your organization uses, so employees are not learning two different schemes.

Make it short and usable

The policy itself should fit on two or three pages. Put the data rule and the list of approved tools near the top, because these are the sections people will return to.

Supporting material can sit alongside it: a short FAQ, examples of good and poor use and a simple way to ask questions. Examples are often more effective than rules in showing people what is expected.

Roll it out deliberately

Publishing a policy is not the same as adopting it. A deliberate rollout helps:

• Brief managers first, so they can answer questions from their teams
• Share a short summary through the channels people already use
• Provide approved tools at the same time, so the policy enables rather than only restricts
• Include AI use in existing security awareness training

Review it regularly

AI tools, regulations and the way people use them are changing quickly. Plan to review the policy at regular intervals, and whenever you approve a significant new tool or face new regulatory requirements.

Before finalizing the policy, ask your legal, privacy and security teams to review it against your obligations and existing policies. An AI use policy works best as part of your wider governance, not as a separate document.

A starting checklist

1. Purpose statement agreed with leadership
2. List of approved tools and a request process
3. Traffic-light data rule aligned with existing classification
4. Human review, transparency and intellectual property expectations
5. Prohibited uses and an issue reporting route
6. Named owner and review schedule
7. Rollout plan with manager briefings and training

With these in place, employees have clear rules to follow, and the organization gains visibility of how AI is being used.