Our team is asking for a clear, daily operating policy on using generative AI, but we do not want to restrict their innovation. How do we build a lightweight, practical AI policy that keeps us safe without slowing down our execution?

Question

Tyler Smith · Accepted Answer

You do not need a complex, forty-page legal document that your team will never read. To drive rapid execution without sacrificing security, you need a simple, practical AI policy built on trust and our core values. Start by creating a one-page document that outlines what is acceptable and what is not.

First, establish a strict data privacy rule. Your team must never input proprietary client data, sensitive financial information, or intellectual property into public AI models. They must only use approved, secure enterprise accounts.

Second, mandate human oversight. No AI-generated output can leave your building or go to a client without a human reviewing, editing, and signing off on it. The person in the seat on your Accountability Chart remains completely accountable for the accuracy and quality of the work, regardless of how it was produced.

Third, encourage open experimentation. Ask your team to document their best prompts and share them during your weekly meetings. Frame this policy as a set of guardrails, not a cage. By giving your team clear, non-negotiable boundaries, you empower them to innovate safely. You protect your company while driving a culture of high execution.