AI for Meeting Notes and Action Items

Meetings produce decisions, commitments, and tasks — but those outcomes are only useful if they are captured accurately and followed up on. Writing detailed meeting notes while also actively participating in a conversation is difficult. AI tools solve this by automatically recording, transcribing, and summarising meetings — so the focus can stay on the discussion rather than note-taking.

This topic covers the tools and techniques for capturing meeting outcomes with AI, both for live online meetings and in-person discussions.

The Problem With Manual Meeting Notes

Traditional meeting note-taking has well-known weaknesses:

• The note-taker misses parts of the conversation while writing
• Notes are subjective — different people take away different points
• Action items are often unclear or unattributed to a specific person
• Notes are rarely structured or searchable after the meeting
• The task of writing and distributing notes falls on one person

AI meeting tools address all of these issues automatically.

AI Tools for Meeting Notes

Otter.ai

What it does: Automatically joins Zoom, Google Meet, and Microsoft Teams calls and transcribes them in real time. After the meeting, it generates a summary and highlights action items.

Free plan: 300 minutes of transcription per month

Best for: Teams using video conferencing regularly who want automatic, searchable meeting records

Fireflies.ai

What it does: Records and transcribes meetings across all major platforms. Creates a searchable archive of all past meetings — search for a specific decision or topic across every recorded meeting.

Free plan: Limited storage; paid plans unlock full features

Best for: Teams that need to reference past meeting discussions frequently

Microsoft Copilot in Teams

What it does: For users on Microsoft 365 with Copilot enabled, Teams can transcribe a call in real time and generate a meeting summary including action items when the meeting ends.

Best for: Organisations already using Microsoft 365 and Teams

Gemini in Google Meet

What it does: For Google Workspace users, Gemini can generate notes and action items from a Google Meet call. Notes are automatically saved to Google Docs.

Best for: Teams using Google Workspace and Google Meet

How to Set Up Otter.ai for Automatic Meeting Notes

Step 1 — Create an Account

1. Go to otter.ai
2. Sign up with a Google or email account

Step 2 — Connect to Meeting Platforms

1. In Otter.ai, go to Settings → My Connections
2. Connect the Google Calendar or Outlook Calendar
3. Otter will detect upcoming meetings and ask whether to automatically join and transcribe them

Step 3 — Start a Meeting

When a connected meeting starts, OtterPilot (Otter's AI bot) automatically joins as a participant and begins transcribing. It appears in the participants list as "OtterPilot."

Step 4 — Review the Summary

Within minutes of the meeting ending, Otter sends a summary email containing:

• A paragraph summary of the meeting
• Action items extracted from the discussion
• A full text transcript
• A searchable meeting record in the Otter dashboard

For In-Person Meetings — Using AI Without a Bot

When meetings happen face to face without video conferencing, AI still helps — using the voice recording method:

Method 1 — Record and Then Transcribe

1. Record the meeting on a smartphone voice recorder app
2. After the meeting, upload the audio file to Otter.ai (drag-and-drop in the dashboard)
3. Otter transcribes the audio and generates a summary

Method 2 — Take Rough Notes and Use AI to Organise Them

1. During the meeting, jot down rough bullet points — key topics, names, numbers
2. After the meeting, open ChatGPT or Claude
3. Paste the rough notes and use this prompt:

Prompt:
"Organise these meeting notes into a clean format with three sections: Key Decisions, Action Items (with owner and deadline if mentioned), and Open Questions. Clean up any grammar or spelling. [Paste rough notes here]"

Generating a Meeting Agenda Before the Meeting

AI is also useful before a meeting — for preparing a structured agenda.

Prompt:
"Create a meeting agenda for a 45-minute project status meeting with a team of 5. The meeting will cover: progress updates from each team member (15 mins), review of three outstanding blockers (15 mins), planning for next week's priorities (10 mins), and any other business (5 mins). Format as a professional agenda with time allocations."

Turning Meeting Transcripts Into Action Emails

After a meeting, a follow-up email to all participants with a clear summary and action list ensures everyone is aligned. AI can generate this automatically from the transcript or notes.

Prompt:
"Based on the following meeting transcript, write a follow-up email to all attendees. Include: a one-sentence meeting summary, a numbered list of action items (with the person responsible and the deadline if mentioned), and the date of the next meeting if it was discussed. Tone: professional and concise. [Paste transcript here]"

Benefits of AI Meeting Notes in Numbers

• A typical 1-hour meeting generates 5–10 pages of transcript when transcribed fully
• AI can summarise that into a useful 300-word brief in under 30 seconds
• The time saved on post-meeting notes per person is typically 15–30 minutes per meeting
• For a team of 5 who meet twice a week, that is 2.5 to 5 hours of collective time saved weekly

Best Practices for AI Meeting Notes

• Inform participants: Always let meeting participants know that the meeting is being recorded or transcribed — this is both good practice and required in many regions
• Review before distributing: AI meeting summaries are accurate but sometimes miss nuance or misattribute a comment — review before sharing with the team
• Highlight the most critical action items: AI extracts action items, but marking the top priorities manually ensures nothing is missed
• Store notes consistently: Save meeting summaries in a shared location (Notion, Google Drive, Teams channel) so the team can reference them later

Key Takeaway

AI meeting tools like Otter.ai and Fireflies.ai automatically transcribe and summarise meetings, extract action items, and create searchable records — replacing manual note-taking entirely. For in-person meetings, recording audio and uploading it, or using AI to organise rough notes, achieves a similar result. AI can also generate meeting agendas before a meeting and follow-up emails after it. The combined time saving across preparation, note-taking, and follow-up is significant for anyone who attends multiple meetings each week.

The next topic covers AI for Scheduling and Time Management — using AI to plan, prioritise, and protect time more effectively.