A user connects Fellow to a calendar and supported meeting service, prepares a collaborative agenda, and lets Fellow record the meeting through a bot, desktop capture, mobile recording, or an uploaded audio/video file. Afterward, Fellow creates a transcript, recap, and suggested action items that can be edited, shared, searched, or sent to connected workplace tools.
What is Fellow?
Fellow is an AI meeting assistant and meeting management workspace. It helps teams prepare agendas, collaborate on notes, record meetings, generate transcripts and recaps, identify action items, and preserve searchable meeting history.
The product is intended for recurring internal meetings, one-on-ones, project reviews, sales calls, customer conversations, interviews, and other discussions where decisions and follow-ups need to be documented. Its main value is the connection between the meeting itself and the work that follows: notes can be shared, action items can be assigned, and information can be sent to connected project-management, CRM, communication, and documentation tools.
How Fellow works in practice
A typical workflow starts with connecting a calendar and supported meeting services, then preparing a collaborative agenda or selecting a meeting template. Fellow can capture supported video calls through a meeting bot, record through desktop or mobile applications, or process uploaded audio and video files. It also supports botless recording options in some workflows.
After the meeting, Fellow produces a transcript, recording, recap, and suggested action items. Users can review and edit the results rather than treating the generated notes as a final, unquestionable record. Meeting information can then be shared with relevant participants, searched later, or synchronized with connected tools.
Core capabilities
Transcription, recaps, and searchable history
Fellow converts supported meeting recordings and uploaded media into transcripts with speaker identification. Its AI-generated recaps organize discussions around important points, decisions, outcomes, and next steps. The resulting notes and transcripts can be searched across previous meetings, making the product useful when someone needs to recover a decision or commitment made weeks earlier.
Action items and follow-up
Fellow can suggest action items from meeting discussions and helps teams track or assign them. This is more operational than simply receiving a summary: the intended workflow is to connect what was discussed with the person responsible for the next step and, where supported, synchronize that work with another system.
Agendas, templates, and collaborative notes
Before a meeting, participants can build a shared agenda and add talking points. Fellow includes purpose-built templates for workflows such as one-on-ones, sales calls, project meetings, interviews, and all-hands meetings, as well as options for custom AI note templates. This agenda-first design distinguishes it from tools focused only on recording and transcribing conversations.
Ask Fellow and integrations
Ask Fellow allows users to query meeting notes and transcript history. The product also connects with services such as Google Calendar, Google Meet, Zoom, Microsoft Teams, Slack, Asana, ClickUp, Jira, Linear, Monday, Notion, Confluence, HubSpot, Salesforce, cloud storage services, Zapier, and other workplace systems documented by Fellow. Availability and behavior can vary by plan and integration.
Who is Fellow for?
Fellow is best suited to teams that hold many recurring meetings and need consistent documentation. Managers can use it for one-on-ones and follow-up tracking; project teams can use it to preserve decisions and distribute tasks; sales and customer-facing teams can use it to transcribe calls and synchronize relevant information with a CRM.
It can also be useful for organizations that need administrative control over meeting access, recording, retention, and sharing. Its collaborative agendas and workspace features make it more appropriate for team processes than a personal transcription app used only to generate an occasional text file.
Fellow is less suitable for someone seeking a general research assistant, a document-analysis platform, a standalone audio editor, or a tool for building custom AI agents. Compared with meeting-focused products such as Otter, Fireflies.ai, Fathom, or Granola, the important evaluation question is whether the combination of agendas, collaborative notes, action items, and workplace integrations matches the team's process.
Platforms and workflow fit
Fellow is available through its web application, macOS and Windows desktop applications, Chrome and Firefox extensions, and an iOS mobile application. The supplied documentation does not establish current Android availability.
The product can fit into communication and work-management workflows by sending or synchronizing meeting information with tools such as Slack, Microsoft Teams, Asana, ClickUp, Jira, Linear, Monday, Notion, Confluence, HubSpot, and Salesforce. It also documents API access, an MCP server, and an official Claude connector. That connector does not establish that Claude is the model used for Fellow's core note-taking features, and Fellow does not publicly disclose a user-selectable model list for its main AI features.
Pricing and access
Fellow has a continuing free plan for teams of up to 10 users, although free usage includes limits on AI meeting notes, recordings, history, or related features. Paid plans include Solo, Team, Business, and custom-priced Enterprise options. The public pricing information lists the Team plan from $7 per user per month when billed annually, compared with a higher monthly-billing rate of $11 per user per month.
The Team plan documentation describes limits such as a defined number of AI meeting notes and recordings per user, while higher plans provide broader allowances and administrative features. Additional AI usage or add-ons may affect the total cost. Paid features have a 14-day trial, but plan limits and pricing should be checked before purchase because they can change.
Privacy and limitations
Fellow states that customer meeting data is not used to train AI models. Its published security information describes SOC 2 Type II, HIPAA, and GDPR compliance, along with encryption, access controls, audit logs, recording controls, transcript redaction, and retention administration. Meeting notes are generally limited to attendees or people explicitly given access, subject to workspace settings and sharing actions.
Privacy still requires active configuration. Recording meetings may require consent under applicable laws and organizational policies, and administrators need to decide who can access recordings, transcripts, and generated notes. Fellow documents retention controls, but the exact default and plan-specific retention periods are not fully established in the supplied material. Team documentation references a limited searchable note-history period, while higher tiers provide broader history and controls.
Other limitations are practical rather than technical. AI-generated transcripts and action items need review, especially when speakers overlap, audio quality is poor, or a discussion contains ambiguous commitments. Recording and AI allowances vary by plan, advanced administration is concentrated in higher tiers, and the underlying models are not disclosed or selectable. Teams that want a general-purpose assistant, extensive document analysis, or custom agent construction will likely need another product alongside Fellow.
Is Fellow a good fit?
Fellow is a strong fit when meetings are a recurring source of work and the organization needs a shared system for agendas, notes, transcripts, decisions, and follow-ups. It is particularly relevant for managers, project teams, sales organizations, and privacy-conscious businesses that want meeting information connected to existing workplace software.
It is a weaker fit for occasional personal note-taking, users who only want a lightweight transcription service, or organizations that require transparent control over the underlying AI models. The free plan is useful for evaluating the basic workflow, but teams should examine recording and AI-usage limits, integrations, access controls, and retention requirements before standardizing on the platform.
