Notion uses a custom AI agent that runs daily, compiling a pre-read from various sources like Slack, tasks, and pull requests. This eliminates manual prep, reduces status reporting, and focuses meetings on strategic problem-solving.

Always have an AI call recorder like Fireflies active during meetings. The AI can capture and flag critical details that humans might miss in the moment, such as a supplier mentioning an upcoming 8% price hike. These flagged items can be added directly to your dashboard for immediate action.

By feeding meeting transcripts into a custom AI system, an executive gets daily, specific feedback on his performance goals (e.g., not jumping to solutions). This creates a continuous accountability loop, making formal performance reviews more actionable and impactful.

An Executive Assistant at Zapier built an AI agent that automates her weekly meeting prep. The agent researches external attendees, checks the CRM and internal comms for context, and delivers a digest and tasks. This saves hours of manual work and ensures thorough preparation.

A powerful, underutilized use case for AI is as a "watchdog" that monitors communication channels like Slack, calendars, and meeting transcripts. This AI can perform continuous gap analysis, flagging duplicative work, scheduling conflicts, or key disagreements that humans would otherwise miss, thus improving operational efficiency.

Go beyond using AI for research by codifying your North Star, OKRs, and strategic goals into a personalized AI agent. Before important meetings, use this agent as a 'thought partner' to pressure-test your ideas, check for alignment with your goals, and identify blind spots. This 10-minute exercise dramatically improves meeting focus and outcomes.

Top engineers and designers waste significant time on coordination tasks like updating project management tools and attending stand-ups. Owner built an internal agent that listens to GitHub, Slack, and meetings to automate this alignment work, freeing up talent to focus on building.

Instead of manual note-taking, use AI tools to transcribe and summarize all meetings. This creates a unique, searchable knowledge base from your conversations, which can be leveraged to improve preparation, follow-ups, and decision-making over time.

Use an AI meeting tool not just for summaries, but to create a long-term, searchable archive of all key decisions. Weeks later, anyone can query the system to recall specific outcomes, which combats institutional memory loss and boosts accountability across the team.