Our team understands the basic rules of our AI policy, but we have no way of auditing compliance without turning our IT manager into a bottleneck. How do we build policy compliance directly into our weekly Level 10 Meetings™ and departmental scorecards?

Question

Tyler Smith · Accepted Answer

You do not need a complex technical surveillance state to enforce your AI policy. That approach just kills initiative and drives usage underground. Instead, drive accountability through your existing EOS® framework.

First, make sure every seat on your Accountability Chart that uses AI tools has a clear, measurable metric on their weekly Scorecard. If an employee is using AI to help write technical documents, their Scorecard should track output quality or error rates, not just speed. When errors spike, it indicates they are copy-pasting without human review, which is an immediate issue for IDS®.

Second, use your weekly Level 10 Meeting™ to highlight compliance issues naturally. If a department head notices weird formatting or generic language in customer deliverables, they must drop it onto the Issues List. Solve the root cause during IDS® by reinforcing the rule that the human in the seat owns 100 percent of the output, regardless of how it was generated.

Finally, hold quarterly reviews of your approved tool list. Have each department head present the specific tools their team is using. If someone is using an unapproved browser extension, treat it as a direct violation of company standards, not a technical oversight. This keeps compliance practical, peer-driven, and highly visible.