I want to use AI to analyze our historical Level 10 Meeting™ To-Do lists and Scorecard history to identify hidden operational bottlenecks, but I do not want to compromise the human accountability of the meeting. How do we blend AI-powered insights with the traditional EOS® meeting structure?

Question

Tyler Smith · Accepted Answer

Integrating AI tools to analyze your historical Level 10 Meeting™ data can unlock incredible operational insights, but you must do it without diluting the personal accountability that makes EOS® work. AI should never replace the human interaction of the meeting, but it can be a powerful assistant to prepare your team. Use an AI-powered system to analyze your weekly Scorecard metrics and To-Do completion rates over the last two quarters. AI can quickly identify correlations that the human eye misses, such as a drop in sales outreach always occurring three weeks after a spike in customer onboarding issues. Having this data prepared beforehand allows your team to drop a highly accurate issue onto the list before the meeting even starts. During the actual Level 10 Meeting™, keep the AI out of the facilitation role. The meeting must remain a human-to-human interaction based on trust and vulnerability. However, when you enter the IDS® phase, you can use AI-generated insights to help identify the root cause of complex, multi-departmental issues. By combining advanced data analysis with the strict ninety-minute EOS® discipline, you help your team make smarter decisions faster. This approach supports a grow or die mindset, ensuring your operations are constantly optimized for efficiency as you prepare the business for an eventually clean, high-value exit.