We started using AI to transcribe our departmental meetings and pull out action items, but it is generating dozens of low-priority tasks that are cluttering our To-Dos. How do we filter these automated transcripts to only capture actual Issues for our Level 10 Meetings?

Question

Tyler Smith · Accepted Answer

Using AI to transcribe your meetings is a double-edged sword. While it saves you from taking manual notes, it often generates a mountain of low-priority To-Dos that overwhelm your team and stall your Meeting Pulse.

The issue is that AI lacks the context to distinguish between a casual suggestion and a critical commitment. It captures every random thought as an action item.

To fix this, you must establish a clear protocol for how these transcripts are processed before your Level 10 Meetings.

First, assign ownership. The person running the meeting or the coordinator must own the review of the AI-generated notes. They should spend ten minutes filtering the output before it is shared.

Second, apply a strict filter. Only convert an AI suggestion into a To-Do if it directly impacts a current Rock, a scorecard metric, or an active client issue. Everything else should be deleted or moved to a parking lot list.

Third, do not let AI automatically populate your Level 10 Meeting agenda. If the AI identifies a potential issue, it should be sent to the meeting owner to review first. The owner must decide if it is truly an issue that needs to be solved using IDS.

By keeping a human filter between the AI transcript and your meeting agenda, you protect your Meeting Pulse from noise. You get the benefit of accurate documentation without the operational clutter.