Fellow AI

Fellow AI is an artificial intelligence meeting assistant and productivity platform designed to help individuals, teams, managers, and organizations conduct more effective meetings. The platform combines AI-powered meeting recording, transcription, summaries, action items, collaborative agendas, meeting management, and workflow automation. Its goal is to reduce the administrative work associated with meetings while helping teams document decisions, assign responsibilities, and follow up on important discussions.

Fellow was founded in November 2017 by Aydin Mirzaee, Amin Mirzaee, and Samuel Cormier-Iijima. The company initially focused on improving meeting productivity and collaboration. In 2023, Fellow introduced AI-powered meeting note-taking, expanding its platform to include automatic transcription, meeting summaries, and AI-assisted follow-up. The company rebranded from Fellow.app to Fellow.ai in 2025.

One of Fellow AI’s central features is its AI Note Taker. The tool can record supported meetings, transcribe conversations, and generate structured meeting recaps. Rather than requiring participants to take detailed notes throughout a discussion, Fellow creates a record of the conversation that can be reviewed afterward.

The generated meeting recap can include a summary, transcript, important decisions, and suggested action items. This helps teams preserve key information and reduces the risk of forgetting assignments or decisions. Fellow supports meetings through Google Meet, Zoom, Microsoft Teams, and Slack Huddles, with additional recording options available through its desktop applications and supported workflows.

Users can configure how and when the Note Taker records meetings. Depending on their setup and plan, they may choose automatic recording, manually initiate recording, or apply recording rules. Fellow also supports uploading existing audio and video files to generate transcripts, summaries, and action items from meetings that were not originally recorded through the platform.

Fellow converts recorded conversations into structured information that is easier to review and act upon. Its AI-generated recaps identify the main topics discussed, decisions made, and tasks that need attention. Action items can be assigned to responsible team members, and supported plans provide additional tools for managing due dates and tracking follow-through.

This functionality is useful for project meetings, management discussions, sales calls, planning sessions, customer conversations, and internal team updates. Instead of manually reviewing a lengthy transcript, users can begin with a concise summary and return to the full recording or transcript when more detail is needed.

Fellow also provides meeting agendas and templates to help participants prepare before a discussion begins. Teams can collaborate on talking points, document objectives, and maintain a history of recurring meetings. Its library of meeting templates helps users structure different types of discussions, from one-on-one meetings to project reviews and organizational planning.

Ask Fellow is an AI assistant that lets users ask questions about their accessible meeting history and related documents. For example, a user can ask what was decided during a previous meeting, what commitments were made about a project, or which tasks remain outstanding.

Ask Fellow searches relevant meeting notes and transcripts to provide answers based on recorded discussions. It can also help draft documents, prepare agendas, create follow-up emails, and organize meeting information. Depending on available features and permissions, users can attach documents and other files to provide additional context.

This makes Fellow useful as a searchable knowledge resource rather than simply a transcription tool. Teams can revisit earlier discussions without manually searching through numerous documents and recordings. However, users should verify important answers against the original meeting records, particularly when decisions, deadlines, or business commitments are involved.

Fellow includes tools for managing the entire meeting process, including preparation, participation, documentation, and follow-up. Users can create collaborative agendas, maintain notes, share meeting recaps, and organize discussions into channels based on projects, teams, or topics.

The platform also supports one-on-one meetings between managers and direct reports. These spaces can help participants prepare discussion topics, document feedback, track commitments, and maintain a history of previous conversations. This is useful for organizations that want to improve management practices and make recurring meetings more consistent.

Shared notes, comments, templates, and action-item management help team members coordinate their work. Features such as version history, guest access, and workspace-wide templates vary by subscription. These capabilities allow teams to move from isolated meeting notes toward a more organized record of decisions and responsibilities.

Fellow integrates with common communication, calendar, project management, and customer relationship management tools. Its documented integrations include Google Calendar, Microsoft 365, Slack, Zoom, Google Meet, Microsoft Teams, Asana, Jira, ClickUp, Linear, Trello, Notion, Confluence, Salesforce, and HubSpot. Availability depends on the selected plan.

These integrations allow meeting notes and action items to connect with existing workflows. For example, sales teams can link meeting recaps to CRM records, while project teams can connect meeting outcomes to their project management tools. Fellow also supports workflow automation and integrations through Zapier, which expands the range of applications that can be connected.

Fellow provides API access and an MCP server for supported developer workflows. These capabilities can help organizations integrate meeting information into custom applications and AI-assisted processes. API access is available on eligible paid plans, and developers should consult the official documentation for authentication, supported operations, access limits, and integration requirements.

Fellow emphasizes privacy and organizational control over meeting data. The company states that customer meeting data is not used to train its AI models. It also provides controls over recording permissions, sharing, access to transcripts, and the handling of sensitive meeting information.

Users and administrators can configure which meetings are recorded and who can access the resulting information. Fellow supports features such as pausing recording during sensitive discussions and redacting information from transcripts or recaps where available. Certain plans also offer recording retention controls, including options to delete recordings and transcripts after AI processing while retaining summaries and action items.

Fellow states that it supports SOC 2 Type II, GDPR, and HIPAA compliance, alongside encryption and administrative security controls. Enterprise features include single sign-on, user provisioning, delegated access, workspace analytics, and HR information system integrations. Organizations should review Fellow’s current security documentation and contractual terms before using it for sensitive or regulated information.

Fellow’s AI Note Taker supports automatic language detection and transcription in 100 languages according to its Help Centre. The supported languages include English, Spanish, French, German, Portuguese, Arabic, Hindi, Chinese, Japanese, Korean, Hausa, Yoruba, Swahili, and many others.

Language support can vary by feature, and speaker identification for hybrid meetings is not available for every supported language. Users should confirm the available transcription and recap options for their preferred language before relying on the service for multilingual meetings.

Fellow AI is suitable for professionals and organizations that hold regular meetings and need a reliable way to capture discussions, document decisions, and coordinate follow-up work. Its features can support managers, sales teams, customer-facing departments, project managers, researchers, educators, human resources teams, and remote or hybrid workplaces.

Its main advantages are the combination of AI meeting notes, searchable meeting history, action-item management, collaborative agendas, integrations, and enterprise controls. The main limitations are usage restrictions on the free plan, the cost of higher-tier subscriptions, dependence on recording quality, and the need to review AI-generated content for accuracy.

Overall, Fellow AI is a comprehensive meeting productivity platform that extends beyond transcription. It helps teams prepare for meetings, capture important information, search previous discussions, and connect outcomes with their daily workflows. It is particularly relevant to organizations that value structured meeting practices, actionable summaries, and control over their meeting data.