Why AI meeting tools have become standard
The volume of meetings in knowledge work is high and rising. The burden of capturing what was discussed, what was decided, and what actions were assigned falls on whoever is most conscientious about taking notes, which is often the same person trying to contribute to the conversation at the same time.
AI meeting tools solve this by recording audio, producing searchable transcripts, and generating summaries automatically. For individual professionals and teams, the productivity gain is significant. For distributed or async teams, the ability to share an accurate meeting summary with someone who could not attend is often the single most valuable AI tool in the stack.
What to evaluate in an AI meeting tool
Before comparing specific tools, here are the criteria that actually matter:
- Transcription accuracy: how well does it handle accents, fast speakers, and technical vocabulary?
- Summary quality: does the summary capture the decisions and actions accurately or just produce a word cloud?
- Action item extraction: are action items identified reliably with owners and deadlines?
- Integration depth: does it work with the video conferencing and calendar tools your team actually uses?
- Search capability: can you search across past meetings for a specific topic or decision?
- Privacy and data handling: where is the audio and transcript data stored and how long is it retained?
Otter.ai
Otter.ai is one of the earliest and most widely used AI meeting tools. It connects to Zoom, Google Meet, and Microsoft Teams and produces real-time transcripts during calls.
Strengths: reliable transcription, clean interface, strong mobile app, real-time transcript display during meetings, and good integration with Google Workspace. The ability to add speaker identification tags helps distinguish who said what in the summary.
Limitations: the summary quality at the free tier is limited. The paid tier produces more structured summaries with action items, but the action item extraction is inconsistent on meetings where decisions are made conversationally rather than stated explicitly.
Best for: individuals and small teams who primarily use Google Workspace and Zoom.
After any important meeting, spend two minutes reviewing the AI-generated action items before leaving the call. AI action item extraction is most useful when you catch any missed or misattributed items while the conversation is still fresh.
Fireflies.ai
Fireflies joins meetings as an AI bot and records, transcribes, and summarises the conversation. It has strong integrations with CRM tools including Salesforce and HubSpot, which makes it popular with sales and customer success teams.
Strengths: CRM integration is a genuine differentiator for sales teams. The topic tracking feature, which automatically tags parts of the conversation by subject, is useful for reviewing long meetings. Searchable across all past meetings.
Limitations: the bot joining the meeting is visible to all participants, which some attendees find intrusive. Transcription accuracy is slightly behind Otter.ai on complex accents. The summary structure can be verbose.
Best for: sales teams and customer-facing professionals who want meeting notes to feed directly into their CRM.
Microsoft Copilot in Teams
For organisations using Microsoft Teams with a Copilot licence, the native integration is compelling. Copilot can summarise the meeting in real time, answer questions about what was discussed, and generate a structured recap with actions.
Strengths: no additional tool to purchase or configure if your organisation already has Microsoft 365 Copilot. The recap integrates directly into Teams and is accessible to everyone who attended. The ability to ask follow-up questions about the meeting content after it ends is genuinely useful.
Limitations: requires a Microsoft 365 Copilot licence, which is an additional cost. Only works for Teams meetings. Summary quality is good for structured meetings and less reliable for exploratory or informal discussions.
Best for: Microsoft Teams organisations that already have or plan to adopt Microsoft 365 Copilot.
Zoom AI Companion
Zoom has built AI meeting assistance directly into its platform for paid accounts. It provides meeting summaries, action item extraction, and the ability to ask the assistant questions about the meeting after the call.
Strengths: no additional tool needed if your team runs on Zoom. Clean integration with the existing Zoom interface. Reasonably accurate on structured meetings.
Limitations: quality is below dedicated tools like Otter.ai and Fireflies for transcript accuracy. The feature set is less mature than standalone tools.
Best for: Zoom-first teams who want a basic AI meeting summary without adopting an additional tool.
If your team uses multiple conferencing tools across different client relationships, a standalone tool like Otter.ai or Fireflies is more practical than relying on platform-native AI. It works regardless of which video tool is used for a given meeting.
How to choose
- Microsoft Teams-first organisation: Microsoft Copilot if you have the licence
- Sales team needing CRM integration: Fireflies
- Google Workspace and Zoom users: Otter.ai
- Zoom-only team wanting simplicity: Zoom AI Companion
- Multi-platform teams: Otter.ai or Fireflies for platform-agnostic coverage
The privacy consideration
All of these tools record and process audio from your meetings. Before deploying any of them, verify:
- whether all participants are informed that recording is active
- what data retention and deletion policies apply
- whether your organisation's data compliance requirements allow audio to be processed by the tool provider
- whether client confidentiality obligations restrict recording of client calls
The AI Fundamentals course covers AI tool selection and responsible use practices for professionals across every function.