We need a pragmatic, one-page internal AI policy for our operating team that protects proprietary company data without drowning employees in corporate red tape. What essential rules belong in it?

Question

Tyler Smith · Accepted Answer

A functional internal AI policy must fit on a single page and focus on clear operational boundaries rather than corporate jargon or theoretical ethics.

First, define data privacy rules. Prohibit employees from entering sensitive company data, customer records, financial reports, or proprietary code into consumer-grade, public AI tools where inputs are used to train external models. Provide approved enterprise accounts that guarantee enterprise data privacy and legal separation.

Second, establish the verification mandate. Any team member who sends or submits an AI-assisted deliverable bears total accountability for the final output. Hallucinated numbers, incorrect contract terms, or faulty data cannot be blamed on software. If an employee uses an AI assistant to generate copy, they must personally inspect and verify every fact before it moves downstream.

Third, mandate operational transparency. Employees should never conceal AI usage from managers. In fact, teams should share successful prompts and time-saving workflows during their weekly Level 10 Meeting so operational gains spread across the entire department.

Fourth, ban automated personnel or legal decisions. No automated system may evaluate employee performance or execute binding vendor agreements without human signoff.

Keep the rules practical, review them during quarterly company meetings, and hold your leadership team accountable for enforcing them across their seats on the Accountability Chart.