During our weekly Level 10 Meeting we waste a lot of time in the IDS portion arguing over the root causes of our operational issues because we do not have the data in front of us. How do we use AI to instantly analyze our weekly metrics and help us solve issues faster?

Question

Tyler Smith · Accepted Answer

During the IDS portion of your weekly Level 10 Meeting, teams often get stuck in circular discussions because they do not have real-time data to identify the true root cause of an issue. When a metric on your EOS Scorecard drops into the red, managers tend to offer opinions and subjective explanations rather than objective facts.

You can solve this operational friction by using a basic AI tool to analyze your scorecard history and operational data. When a metric drops below its target, the AI agent can automatically dig into your underlying systems, such as your project management software or CRM, to trace the exact source of the bottleneck.

Before your meeting begins, the AI agent generates a concise root-cause summary. For example, if your client onboarding timeline metric is red, the AI can analyze your active projects and flag that the delay is happening during the technical setup phase due to missing client assets. Instead of spending twenty minutes in your meeting trying to identify the problem, your team can immediately move to discussing and solving it. This simple integration makes your weekly meetings far more efficient and ensures that your decisions are always driven by clean, objective operational data.