Operations & Support
4 steps
12 tools
AI-Powered Meeting Workflow
A complete, automated workflow for preparing, running, and following up on meetings using AI. This process automates transcription, summarization, and action item tracking, saving significant time and ensuring that key decisions and tasks are never missed.
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Step 1
AI-Assisted Meeting Prep
Before the meeting, use an AI assistant to research attendees on LinkedIn, generate a contextual agenda based on the meeting title and participants, and prepare relevant talking points or questions.
Input: List of meeting attendees and a brief on the meeting's purpose.
Output: A structured meeting agenda, short bios for each attendee, and a list of suggested talking points.
A structured meeting agenda, short bios for each attendee, and a list of suggest...
Step 2
Real-time Transcription & Recording
During the meeting, use a dedicated AI notetaker to record the audio and transcribe the conversation in real-time. This creates a searchable, verbatim record of the discussion.
Input: Live meeting audio feed from Zoom, Google Meet, or Microsoft Teams.
Output: A full, time-stamped meeting transcript and an audio/video recording of the meeting.
A full, time-stamped meeting transcript and an audio/video recording of the meet...
Step 3
AI-Powered Summarization & Action Item Extraction
Immediately after the meeting, the AI notetaker automatically generates a concise summary of the key topics, decisions, and outcomes. It also identifies and extracts a list of all action items, assigning them to the correct owner.
Input: The complete meeting transcript.
Output: A bulleted or paragraph summary of the meeting and a structured list of action items with owners.
A bulleted or paragraph summary of the meeting and a structured list of action i...
Step 4
Automated Follow-up & Task Creation
Use an automation platform to trigger a workflow that sends a follow-up email to all attendees containing the summary and action items. Simultaneously, it creates corresponding tasks in a project management tool like Asana or Jira.
Input: The meeting summary and action item list from the AI notetaker.
Output: A follow-up email sent to all attendees and new tasks created in the designated project management system.
Before the meeting, use an AI assistant to research attendees on LinkedIn, generate a contextual agenda based on the meeting title and participants, and prepare relevant talking points or questions.
During the meeting, use a dedicated AI notetaker to record the audio and transcribe the conversation in real-time. This creates a searchable, verbatim record of the discussion.
Immediately after the meeting, the AI notetaker automatically generates a concise summary of the key topics, decisions, and outcomes. It also identifies and extracts a list of all action items, assigning them to the correct owner.
Use an automation platform to trigger a workflow that sends a follow-up email to all attendees containing the summary and action items. Simultaneously, it creates corresponding tasks in a project management tool like Asana or Jira.
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