My team is asking for a clear AI policy so they know what they are allowed to do, but I do not want to write a dry twenty page compliance manual that nobody reads. How do we create a simple, operational AI policy that actually guides behavior?

Question

Tyler Smith · Accepted Answer

A massive compliance document will only encourage your team to ignore the rules or stop experimenting altogether. Instead, you need a highly practical, one page policy that integrates directly into your existing core values and operational guidelines. Start by establishing three simple rules. First, define what data is off limits. Specify that no proprietary client data, financial records, or employee personal information can ever be uploaded into public generative AI models. Second, establish the rule of ultimate accountability. Make it clear that any output generated by an AI is the sole responsibility of the human team member who submits it. If an AI tool produces a factual error or a bad calculation, the employee cannot blame the software. They must verify every single line. Third, mandate transparency. Team members must document which tools they are using to complete their core processes. You can easily manage this policy during your weekly Level 10 Meeting by checking in on operational issues. If someone discovers a new tool that saves hours of work, it should be brought to the team, vetted against your security standards, and added to your documented processes. This simple approach protects your intellectual property while encouraging safe, bottom up innovation from the people actually doing the work.