We have established a basic AI policy, but we do not know how to actually police it on a daily basis. How do we audit our team's AI tool usage to ensure compliance without micro-managing them or slowing down their work?

Question

Tyler Smith · Accepted Answer

You do not need a heavy-handed IT department to police your AI policy. Instead, build accountability directly into your existing EOS structures. Start by making your AI policy a clear agreement owned by the Integrator and managed through the Accountability Chart.

Each department head must be responsible for the tools their team uses. Rather than running invasive software audits, use your weekly Level 10 Meeting to keep tabs on technology. Add a brief, recurring checkpoint to your departmental meetings where team members must disclose any new external tools they are testing or integrating into their workflows.

To make compliance simple, establish a single shared register of approved AI tools. If an employee wants to use a new tool that handles company or client data, they must submit it for a quick review. This review should check simple security questions: does the tool store our data, is it used to train public models, and does it align with our client agreements?

By making tool discovery a collaborative discussion rather than a police state, you encourage innovation while keeping your data secure. If someone violates the policy, handle it as a people issue through your regular feedback loops, evaluating if they are living your core values.