Our employees are starting to use public AI engines to write client deliverables and analyze internal files, and we need a clear policy to manage this. How do we draft a practical AI usage policy that protects our business without completely crushing their desire to find faster ways to work?

Question

Tyler Smith · Accepted Answer

To keep your team aligned and your data secure, you do not need a fifty page legal document. You need a practical, one page AI policy that integrates directly with your Core Values and your existing Accountability Chart. Start by dividing your business data into two categories: public and private. Give your team clear, unshakeable boundaries on what can be uploaded to public large language models. Customer financial records, proprietary trade secrets, and pending contract details must never enter a public prompt.

Instead of banning these systems, define which approved platforms your company pays for, ensuring enterprise grade data privacy is enabled. Make it clear that while employees can use AI to build draft versions of spreadsheets, marketing copy, or code, they are still one hundred percent accountable for the final output. If an AI tool produces an error and a team member sends it to a client, that team member owns the mistake.

In your next Level 10 Meeting, have your leadership team review this policy. Frame it not as a list of restrictions, but as a standard operating procedure for productivity. When employees have a safe sandbox with clear rules, they will find ways to eliminate low value tasks without putting your intellectual property or company valuation at risk.