We need a practical AI policy for our team that protects our company data but does not strangle productivity with red tape. How do we write a simple, actionable AI policy that our employees will actually read and follow?

Question

Tyler Smith · Accepted Answer

A bloated policy written by lawyers who do not understand your business will only guarantee that your team hides their AI usage from you. To protect your proprietary data while keeping your team productive, you must establish a simple, one-page AI usage agreement that links directly to your core values and your Accountability Chart.

Start by defining what data can never be entered into public AI models, specifically client list details, financial statements, and proprietary code. If your team is using tools like ChatGPT, mandate that they toggle off data sharing in their history settings. This simple operational rule mitigates ninety percent of your intellectual property risk overnight.

Next, make it clear that every team member is fully accountable for the output of any AI tool they use. In EOS, we say that you can delegate tasks but you cannot delegate accountability. If an AI tool generates a flawed report or an incorrect client email, the human in that seat on your Accountability Chart owns the mistake. There is no blaming the machine.

Keep the policy focused on outcomes. Encourage your team to experiment with AI to increase their capacity, provided they document their new workflows. Review this policy quarterly during your leadership team meetings to ensure it stays aligned with your V/TO®. This keeps your policy dynamic, protective, and practical without creating unnecessary theater.