We want to use AI to analyze our weekly Level 10 Meeting Issues Lists to find operational patterns we might be missing, but we are worried this will make the meeting feel too robotic or make our leadership team self-conscious about raising sensitive issues. How do we use AI insights safely without ruining our meeting trust?

Question

Tyler Smith · Accepted Answer

Using artificial intelligence to audit your operations is a powerful way to prepare for a clean exit, but it must never interfere with the raw, human trust required in a weekly Level 10 Meeting. The magic of IDS is total transparency. If your team thinks their unfiltered discussions are being fed into an AI that evaluates their performance, they will stop raising real issues. To protect this trust, keep AI completely out of the live meeting environment. Do not use AI recording bots or live transcription tools during your ninety minutes. Instead, use AI as an asynchronous, backward-looking tool. At the end of the quarter, take your completed, text-only Issues Lists and run them through a secure, private AI instance. Ask the AI to identify recurring operational themes, process bottlenecks, or departmental friction points that your leadership team missed. This approach treats AI as an objective research assistant rather than a silent observer. It preserves the psychological safety of your live meeting pulse while still giving you the deep, data-driven operational insights you need to eliminate systemic risk and build an exceptionally well-run business.