AI Meeting NotesAutomation
Meetings that end with a short summary, a list of decisions and tasks already assigned, instead of notes that nobody wrote down.
AI Meeting Notes Automation: what the work involves
Teams spend a large part of the week in calls, then forget what was agreed. One person volunteers to take notes, misses half the discussion while typing, and sends a summary two days later that others skim. Action items go missing, and the same topic returns next week because nobody remembers who was supposed to follow up.
Our pipeline joins or receives recordings from Google Meet, Zoom or Teams, transcribes them with speaker labels, and sends the transcript to a language model with a template matching your meeting type: client call, sprint review, board update. The output is a short summary, decisions, open questions and action items with owner and date when they were actually stated. Items are not invented for people who said nothing. A draft goes to the organiser for a quick check, then to attendees by email or chat, and tasks are created in Asana, Jira, Trello or your CRM. Long meetings are summarised section by section, so detail is not flattened.
Core features
Platform integration
Works with Meet, Zoom and Teams recordings, or accepts uploaded audio from any other source.
Meeting-type templates
A client call and a retrospective are summarised differently, using structures you approve.
Decisions and action items
Outputs list what was decided and who is to do what by when, only where it was actually stated.
Organiser review step
The meeting owner can correct the draft before it is shared, which catches misheard names or wrong assignments.
Tasks into your tools
Action items are created in Asana, Jira, Trello or a CRM with links back to the transcript moment.
Searchable meeting archive
Ask what was decided about a topic across months of meetings and get answers with links to the source.
What we get right before launch
Consent from participants
Recording a meeting needs everyone's knowledge, and external guests in other jurisdictions may require explicit consent. We add a visible notice and an option to stop capture.
Wrong attributions
Summaries can credit a decision to the wrong person or invent a deadline. We tie each item to a transcript line and let the organiser verify before distribution.
Sensitive discussions
Some meetings, such as HR or legal matters, should never be stored. We support exclusions by calendar tag, short retention and access limits for the summaries.
Tools and technology
- Whisper
- Anthropic Claude
- OpenAI
- Zoom API
- Google Calendar API
- Python
- n8n
- Slack API
Common questions, answered
Does it replace human note takers?
For routine meetings, largely, but a person should still skim the draft. Sensitive or high-stakes meetings benefit from a human owner who confirms decisions and assignments before they spread.
Will it work with Urdu and English mixed?
Reasonably well in clear audio, though mixed-language speech lowers accuracy. We test on a sample of your meetings and tune vocabulary, flagging passages that need a closer look.
Where are recordings and notes stored?
In storage you control, with retention periods you set. We can route audio to a self-hosted transcription model if sending it to a third party is not acceptable.
Can attendees correct a wrong summary?
Yes. The shared summary can have an edit or flag option, and corrections are logged so recurring misunderstandings, such as a misheard name, can be fixed in the vocabulary.
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Ready to start your AI Meeting Notes Automation project?
Tell us what you need and we will come back with a clear scope, timeline and the questions worth answering before any build starts.