How can we use AI to make our weekly Level 10 Meetings more efficient without letting technology distract us from solving real issues?

Question

Tyler Smith · Accepted Answer

To keep your Level 10 Meetings highly productive, do not let AI interrupt the actual live conversation. The magic of the meeting lies in the human connection and healthy conflict during the IDS (Identify, Discuss, Solve) portion. Instead, use AI to optimize meeting preparation and post-meeting execution.

Before the Meeting

Before the meeting, leverage AI to streamline your data analysis:

• Analyze Scorecard trends: Use an AI tool to review your weekly Scorecard data.
• Flag missed targets: Configure the AI to automatically flag any numbers that have missed their target for three consecutive weeks. This automates the process of identifying items that need to be moved to the Issues list, saving valuable time during the first segment of your meeting.

During the Meeting

During the meeting, the focus should remain on human interaction:

• Invisible transcription: Run a background transcription tool to capture the discussion. Ensure it remains invisible and non-disruptive to the team's focus. This approach ensures [AI integration into existing seats](/qa/ai-operations-seat-accountability-chart) supports, rather than distracts from, your team's core work.

After the Meeting

After the meeting, use AI to ensure flawless follow-through:

• Process transcript: Use a targeted prompt to process the meeting transcript.
• Isolate To Dos: Have the AI isolate the exact To Dos that were agreed upon, including who owns them and the deadline.
• Map to management tool: Direct the AI to map these To Dos directly into your meeting management tool.
• Draft summary: The AI should also draft a brief, bulleted summary of the resolved issues for anyone who missed the meeting. This ensures everyone stays informed without needing to attend every session, which can be particularly useful when considering [how many hats one person can wear](/qa/how-many-hats-can-one-person-wear-eos) in a leadership role.

This approach keeps your team fully present during the ninety minutes, eliminating the distraction of manual note-taking, while ensuring that the follow-through is flawless. You get the benefits of perfect documentation without sacrificing the raw, human energy required to solve tough business problems. This strategy aligns with the idea of [AI-enabled operations seats](/qa/ai-enabled-operations-seat-roles) where technology augments human effort without replacing critical human functions.

Related questions

• [Should we create a dedicated AI Operations seat on our Accountability Chart, or integrate AI into existing seats?](/qa/ai-operations-seat-accountability-chart)
• [How do we rewrite the roles on our Accountability Chart when AI takes over the repetitive tasks?](/qa/ai-operations-accountability-chart-roles)
• [How do we objectively determine if she still GWCs the new seat?](/qa/evaluating-gwc-for-ai-powered-operations-seats)
• [My Integrator and I are in constant conflict because I want to pursue massive AI-driven operational shifts right now, while they want to wait until our current manual processes are fully documented. How do we resolve this strategic friction?](/qa/visionary-integrator-ai-operational-friction)
• [We want to appoint our current Operations Manager to also own our new AI Integration and Automation seat on the Accountability Chart, but they are already at 100 percent capacity. How do we determine if we should split this into a brand-new seat or delegate their current tasks first?](/qa/ai-operations-seat-capacity-gwc)