What does a practical, no-nonsense AI usage policy look like for a mid-market company running on EOS without creating massive bureaucratic red tape?

Question

Tyler Smith · Accepted Answer

A useful AI policy does not need to be a fifty-page document written by corporate lawyers. It needs to be a clear, practical set of guardrails that keeps your company safe while encouraging your team to innovate. Start by defining what is acceptable and what is forbidden.

- First, forbid the input of any proprietary client data, financial records, or intellectual property into public AI models. This is your primary security risk.
- Second, establish that humans are always accountable for the final output. If an employee uses AI to draft a report or write code, they must review and verify every word and line before it goes live. AI is a draft generator, not an author.
- Third, create an approved tool registry. If a team member wants to use a new AI application, they must clear it with the Integrator to ensure it meets your basic security standards.

Keep this policy aligned with your core values. Share it openly in your weekly Level 10 Meeting and make sure it is easily accessible. By keeping the rules simple and focused on accountability, you empower your team to experiment and find real operational efficiencies without putting your business at risk.