We want to use AI tools to analyze our weekly scorecard data and draft our Level 10 Meeting issues list before we meet, but we are worried this will make our leaders lazy and detached from their actual performance. How do we use AI for meeting prep without losing personal ownership?

Question

Tyler Smith · Accepted Answer

AI can be an incredible lever for operational efficiency, but only if it is used to enhance human accountability, not replace it. If you let an AI model automatically generate your issues list, your leaders will stop looking at their numbers with a critical eye. They will become passive consumers of data rather than active owners of their seats.

The correct way to integrate AI into your Level 10 Meeting™ preparation is to use it as an analytical assistant for each individual leader, not as a replacement for their brain. Before the meeting, each leader should feed their departmental scorecard data and weekly notes into a private AI tool. They should ask the tool to identify hidden trends, correlations between lagging and leading indicators, or recurring operational bottlenecks.

The leader then reviews this analysis, verifies the accuracy, and decides which issues are critical enough to bring to the leadership team. The leader must manually type the issue onto the shared Issues List. The AI helps the leader think deeper and prepare faster, but the leader remains 100 percent accountable for identifying the issue and presenting it during IDS®.

This approach preserves the core principles of EOS®. It keeps your leaders in the driver seat while giving them the analytical power of modern technology. When you prepare for a clean exit, buyers will pay a premium for a company that uses AI to amplify the capability of its leadership team.