Why you need one now
When there is no policy, people either avoid useful tools out of caution or use them without any guardrails. A one- or two-page policy solves both problems.
What the policy should cover
- Approved tools: which AI tools may be used for work, and on which plans
- Data rules: what may never be entered, such as personal data, credentials and confidential documents
- Review: AI output must be checked by a person before it reaches customers or is published
- Disclosure: when content or decisions made with AI need to be labelled
- Ownership: who approves new tools and who answers questions
Keep it practical
Write in plain language with examples: "You may use the approved assistant to draft a blog outline. You may not paste a client's contract into it." People follow rules they understand.
Think about fairness and accuracy
If AI helps screen CVs, score leads or make other decisions about people, check the results for bias and keep a person responsible for the final decision. Laws on automated decisions and data protection vary by country, so take advice where it matters.
Train, then revisit
Walk the team through the policy in a short session and share a few good examples of AI use. Review the policy every six months, because tools and regulations change quickly.
The goal
A good AI policy is not a list of bans. It gives people the confidence to use AI well, and gives the business protection when something goes wrong.