Our team is paralyzed because they do not know what is acceptable to input into public AI models and what is off-limits. How do we write a simple, one-page AI policy that keeps our client data safe without killing employee initiative?

Question

Tyler Smith · Accepted Answer

Writing a heavy, multi-page legal document will only guarantee that your team ignores it. To protect your company without killing momentum, you must draft a simple, one-page AI policy built on clear, operational boundaries. Frame this policy around the concept of protecting your intellectual property and client confidentiality.

You must establish three basic zones for your team. First, define the Red Zone. This includes customer financial records, proprietary source code, and personally identifiable information that must never be entered into any public AI tool. Second, define the Yellow Zone. This covers internal drafts, meeting transcripts, and project briefs that can only be processed using approved, enterprise-grade AI tools with data-privacy protections enabled. Third, define the Green Zone. This includes public marketing copy, generic templates, and industry research where public tools can be used freely.

Do not make this a top-down mandate. Use Kolb's Experiential Learning Theory to roll this out. Give your team a Concrete Experience by running a brief workshop where they test these boundaries with their actual weekly tasks. Let them practice classifying real-world inputs so they build concrete muscle memory.

Finally, tie this policy directly to your Accountability Chart. Every seat must have clear GWC, meaning they get, want, and have the capacity to manage their tools responsibly. If an employee cannot show that they understand how to handle data safely, they do not have the capacity for that seat. Keep the guidelines highly visible, review them during your quarterly meetings, and update them as the technology changes.