How to Use AI to Run Better Meetings
The average professional spends 31 hours per month in unproductive meetings. AI does not just make meetings shorter — it makes them more focused, better documented, and more likely to produce the decisions and actions they were called for.
The Four Problems AI Solves
No clear purpose or agenda
A meeting without a clear purpose is a conversation that could have been an email. AI generates a structured agenda from a meeting description in 2 minutes: given the purpose, the attendees, and the time available, what is the agenda that is most likely to produce the required decision or outcome? A good AI-generated agenda has: a clear stated purpose at the top, timed agenda items (this meeting is 45 minutes: 10 minutes for context-setting, 20 minutes for the core decision, 10 minutes for next steps, 5 minutes for any other business), and a pre-read list specifying what attendees should review before arriving.
Actions are not captured or followed up
The most common meeting failure: good decisions are made and action items assigned, but no one captures them accurately, and by the next meeting half of them have been forgotten or misunderstood. AI transcribes meetings (using Otter.ai, Fireflies, or similar) and extracts action items automatically: who is doing what by when. The action item list is sent to all attendees within 30 minutes of the meeting ending. Each action owner receives a personal follow-up reminder 24 hours before the deadline. Zero action items fall through the cracks.
The wrong people talk too much
In most meetings, 20% of attendees produce 80% of the discussion — often the most senior or most vocal, not necessarily the most informed on the specific topic. AI-assisted meeting design improves this: the agenda specifies who is the presenter and who is the decision-maker for each agenda item, structured discussion techniques (silent brainstorming, round-robin input) are built into the agenda design, and the pre-read requirement ensures everyone arrives informed rather than being briefed in real time (which benefits the loudest voices most).
Poor documentation and institutional memory
After most meetings, the only record is the notes of whoever happened to write things down. These notes are often incomplete, biased toward the note-taker’s perspective, and inaccessible to people who were not present. AI-generated meeting summaries are comprehensive, structured, and searchable: every decision made, every action item assigned, every key point discussed, and any follow-up required. Stored in your knowledge base (from Post 228) with the meeting date, attendees, and topic tags — building the institutional memory that prevents the same ground being covered again and again.
Before, During, and After
Before the meeting: AI-generated agenda and pre-read
When a meeting is created in Google Calendar or Outlook, a Make.com scenario detects it and sends a prompt to the meeting organiser: this meeting has been created. To generate an AI agenda, reply with: the purpose of the meeting in one sentence, the decision or outcome needed, and any background context. Within minutes, the organiser receives a structured agenda template and a pre-read list. The agenda is added to the calendar invite. Attendees arrive knowing exactly what will be discussed and what decision they are there to make.
During the meeting: AI transcription and real-time capture
Use an AI meeting assistant (Otter.ai, Fireflies, or Notion AI) to transcribe the meeting in real time. These tools connect to Zoom, Google Meet, or Microsoft Teams and produce a live transcript. For in-person meetings, record the audio on a phone and transcribe after. The real-time transcript ensures nothing is missed — even in a fast-moving discussion where manual note-taking falls behind. Do not try to manage the transcript during the meeting; review it immediately after.
After the meeting: AI summary and action extraction
Within 15 minutes of the meeting ending, pass the transcript to Claude: Summarise this meeting transcript. Generate: (1) a 3-sentence meeting summary (what was discussed and what was decided), (2) a bulleted list of all decisions made with the rationale, (3) a numbered list of all action items with owner name and due date, (4) any open questions that were raised but not resolved (requiring follow-up), and (5) any items for the agenda of the next meeting. Format for email distribution. Send the summary to all attendees immediately. The meeting is documented comprehensively before the next meeting starts.
Following up on action items
A Make.com scenario processes the action item list: for each action item, create a task in your project management tool (Asana, ClickUp, or GoHighLevel) assigned to the named owner with the specified due date. 24 hours before each due date, the owner receives an automated reminder with the action item text and the meeting context. When an action item is marked complete, the meeting organiser is notified. A weekly digest shows the organiser all outstanding action items from recent meetings — enabling proactive follow-up on anything at risk of slipping.
📌 The best use of AI in meetings is not during the meeting — it is before it. A 5-minute investment in AI agenda generation eliminates the first 10 minutes of every meeting that currently goes to purpose-setting and scope-creeping. The ROI on meeting preparation is the highest of any meeting improvement intervention: reduce the number of meetings, and make the ones you keep dramatically more efficient.
Should I tell meeting attendees that the meeting is being transcribed?
Yes, always — both as a matter of professional courtesy and, in many jurisdictions, as a legal requirement. Add a note to the calendar invite and announce at the start of the meeting that an AI transcription tool is running. Most people have no objection and appreciate the comprehensive documentation. For sensitive meetings (HR conversations, confidential negotiations, personal feedback), disable transcription and take manual notes instead.
How do I handle recurring meetings with AI?
Recurring meetings (weekly team standup, monthly review, quarterly planning) benefit from a consistent AI template. Build a meeting template for each recurring meeting type: the standard agenda with time allocations, the standard action item format, and the summary structure. Each week, the transcript is processed against the same template — producing a consistent, comparable record across every instance. Over time, AI can analyse the pattern of recurring meeting action items: which items consistently appear because they were not completed, which decisions are made repeatedly on the same topic (a sign the decision was not properly made the first time).
Want Your Meeting Culture Improved with AI?
SA Solutions builds Make.com meeting automation workflows — AI agenda generation, transcript processing, action item tracking, and meeting performance analytics.
