Fellow AI

Fellow AI

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Fellow AI is an AI meeting assistant that records, transcribes, and summarizes meetings with action items and shareable notes.

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Fellow AI
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📋 About Fellow AI

Fellow AI is an AI meeting assistant that joins video calls, transcribes conversation in real time, and delivers concise summaries, action items, and decisions back to participants. Built on top of Fellow's long-running meeting management platform, the fellow ai assistant goes beyond transcription to extract structured follow-ups, link notes to agendas, and feed insights into project management and CRM tools. This turns meetings from disposable events into durable, searchable knowledge that teams can revisit and act on.

Key Features of Fellow AI

1

Automatic Meeting Recording and Transcription

Fellow AI joins scheduled meetings automatically and produces a highly accurate transcript with speaker identification across Zoom, Google Meet, and Microsoft Teams. The fellow ai recorder respects meeting privacy settings and announces its presence so participants know it is active. Transcripts are searchable, timestamped, and linked back to the meeting in Fellow's workspace. Teams use them to verify decisions, onboard new hires, and keep absentees in sync.

2

AI-Generated Summaries

After each meeting, fellow ai produces a concise summary that highlights decisions, key points, and context for attendees who missed it. Summaries are tuned for business meetings, so they avoid irrelevant chit-chat and focus on what matters. The summary can be regenerated with different emphasis — executive-ready, technical, or decision-log style — to suit the audience. This dramatically reduces the time people spend writing up meetings by hand.

3

Action Item Extraction

Fellow AI identifies action items from the conversation and assigns owners, deadlines, and context wherever possible. The extracted items appear in a structured list that teammates can edit before the meeting wraps up, ensuring accuracy while saving time. Action items sync to task systems like Asana, Jira, Linear, and Notion so commitments do not get lost. This closes the common loop where meetings generate verbal commitments that never turn into tracked work.

4

Agenda-Linked Notes

Because Fellow is built around structured agendas, fellow ai links transcribed content and summaries back to specific agenda items, which makes it easy to find how each topic was discussed. Recurring agendas accumulate notes over time, giving teams a longitudinal view of how decisions and metrics evolve. The fellow ai assistant can also surface unresolved items from previous meetings that should come up again. This structural linkage is a major differentiator versus pure transcription tools.

5

Integrations with Work Tools

Fellow AI syncs with calendar, video, CRM, and project management tools including Google Calendar, Outlook, Zoom, Teams, HubSpot, Salesforce, Asana, Jira, and Linear. This ensures meetings, notes, and action items flow into the systems of record where work happens. Slack and Microsoft Teams integrations post summaries and action items into channels for team visibility. These integrations reduce the administrative friction that usually follows meetings.

6

1-on-1s and Feedback Frameworks

Beyond ad-hoc meetings, fellow ai supports Fellow's established 1-on-1 and feedback frameworks, where managers and reports track career conversations, goals, and feedback over time. The AI helps summarize progress across many 1-on-1s, surface recurring themes, and draft follow-ups. This turns Fellow AI into a lightweight people management tool rather than just a meeting note-taker. Managers with many reports find this particularly valuable for staying on top of commitments.

7

Enterprise Security and Admin Controls

Fellow AI provides SSO, SCIM, admin-level visibility, data residency options, and retention controls for enterprise customers. Sensitive meetings can be marked private or excluded from AI processing entirely. The platform maintains security certifications appropriate for mid-market and enterprise deployments. These controls are increasingly important as AI meeting assistants handle confidential discussions across organizations.

🎯 Use Cases for Fellow AI

Engineering managers rely on fellow ai to summarize standups, 1-on-1s, and design reviews so decisions and action items end up in tracking tools rather than scattered across chat threads. Customer success teams use fellow ai to capture account calls, extract commitments, and push them into HubSpot or Salesforce, ensuring customer promises are tracked and fulfilled. Executives review summaries and action items across many meetings to stay aligned with their organizations without listening to every recording, trusting fellow ai to surface what matters. Cross-functional project teams use fellow ai to build a searchable history of decisions and discussions, shortening onboarding for new members and reducing repeat conversations. Remote-first companies adopt fellow ai as the meeting layer for asynchronous collaboration, with summaries and decisions posted automatically to Slack so teammates in other time zones can catch up quickly.

⚖️ Fellow AI Pros & Cons

Advantages

  • Accurate transcripts across major video platforms
  • Action items sync to task and CRM tools
  • Summaries tuned for business meetings
  • Structured 1-on-1 and feedback frameworks
  • Strong admin controls for enterprises

Drawbacks

  • Best experience requires adopting Fellow's broader platform
  • AI assistant needs permission to join meetings
  • Some integrations gated behind higher plans
  • Transcription quality drops with poor audio

📖 How to Use Fellow AI

1

Create a Fellow account and connect your calendar at fellow.app.

2

Install the fellow ai bot for Zoom, Google Meet, or Microsoft Teams.

3

Configure which meeting types should be recorded and summarized automatically.

4

Join meetings as usual and let fellow ai capture transcripts, summaries, and action items.

5

Edit extracted notes and action items before sharing, then push to Slack or task tools.

6

Use recurring meeting history to track decisions and follow-ups across weeks.

Fellow AI FAQ

Fellow offers a free tier that includes basic meeting note features and limited AI summaries. Paid plans unlock higher AI usage, unlimited transcripts, advanced integrations, and enterprise controls.

Fellow ai natively supports Zoom, Google Meet, and Microsoft Teams, joining meetings automatically based on calendar invites.

Fellow applies enterprise-grade security practices including encryption, SSO, and admin controls. Sensitive meetings can be excluded from AI processing, and data retention is configurable for compliance.

Yes. Fellow AI integrates with Jira, Asana, Linear, HubSpot, Salesforce, and more so action items flow into the systems where your team already works.

Yes. Fellow is built around 1-on-1 and feedback frameworks, and fellow ai accelerates these by summarizing progress and surfacing recurring themes across many conversations.

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