We are using AI tools to summarize our customer feedback and auto-populate our weekly Level 10 Issues List, but the list is becoming bloated with minor tech bugs. How do we filter these out?

Question

Tyler Smith · Accepted Answer

AI-powered operations can streamline your data gathering, but without a strict human filter, automation will quickly turn your weekly Level 10 Meeting issues list into an unmanageable dump of minor software bugs and administrative noise. Your leadership team should only be solving leadership-level problems. To fix this bloat, you must establish a clear gatekeeper role on your Accountability Chart. Usually, this is the Integrator or a designated operations manager. This person must review the auto-populated list at least twenty-four hours before the meeting. The gatekeeper should apply a simple rule: if an issue can be solved by a single department or doesn't impact your quarterly Rocks or scorecard metrics, it does not belong on the leadership team's list. Push these minor technical bugs down to the departmental Level 10 Meetings or assign them directly to your tech team as routine support tickets. Use your AI tools to categorize and pre-filter the issues before they even reach the gatekeeper. For example, program your automation to flag only recurring patterns or critical system failures for the leadership level, while routing routine bugs directly to a developer queue. By keeping a human gatekeeper in control of the weekly agenda, you protect your leadership team's ninety minutes so they can focus on high-value business execution instead of technical troubleshooting.