Fellow is an AI meeting assistant designed for enterprise and regulated teams, offering secure recording, transcription, summarization, and automatic action item tracking. It ensures data privacy by excluding user content from AI training models, making it ideal for organizations requiring strict compliance controls alongside efficient meeting management.

What core features does Fellow provide for meeting management?

Fellow delivers end-to-end meeting automation with a strong focus on security and workflow integration. The platform captures audio and video, generates accurate transcripts, and produces concise summaries that highlight key decisions and next steps. Unlike generic note-taking tools, Fellow automatically extracts action items and assigns them to team members, ensuring accountability. The system supports various meeting formats, including one-on-ones, team syncs, and board meetings. Users can customize agendas before the call starts, allowing for structured discussions. After the meeting concludes, Fellow distributes notes and tasks via email or integrated communication platforms like Slack. This reduces manual administrative work significantly. The AI engine identifies speakers and segments conversations logically. Teams gain a searchable archive of all past interactions. This feature set addresses the common pain point of lost information after virtual calls.

How does Fellow ensure security and compliance for regulated industries?

Fellow prioritizes data protection through enterprise-grade security protocols and strict compliance standards. The company explicitly states that no customer data is used to train its AI models, preserving confidentiality. This policy is critical for sectors handling sensitive information, such as healthcare, finance, and legal services. Fellow offers granular access controls, allowing administrators to define who can view or edit specific meeting records. Data encryption applies both in transit and at rest, safeguarding information against unauthorized access. The platform supports single sign-on (SSO) and multi-factor authentication (MFA) for robust identity verification. Compliance certifications are maintained according to industry best practices, though specific details should be verified on the official website. These measures enable regulated teams to adopt AI assistance without compromising their security posture. Trust is built through transparent data handling policies. Organizations can manage retention periods according to their internal governance requirements.

Who is the ideal user profile for Fellow’s AI meeting assistant?

Fellow targets mid-sized to large enterprises and teams operating within highly regulated environments. Project managers benefit from automated action item tracking, which keeps deliverables on schedule. Executive assistants save time by delegating note-taking and follow-up tasks to the AI. IT and security leaders appreciate the centralized control over data privacy and access permissions. Human resources professionals use Fellow to document interviews and performance reviews securely. Product teams rely on consistent documentation of sprint planning and retrospective meetings. The solution fits organizations where meeting efficiency directly impacts operational costs. Startups may find value if they prioritize early-stage compliance infrastructure. Remote-first companies gain consistency in communication across different time zones. The tool serves anyone struggling with fragmented meeting records. It bridges the gap between casual note-taking apps and heavy enterprise software.

What are the primary use cases for Fellow in daily operations?

Fellow integrates seamlessly into standard business workflows, enhancing productivity through automation. Common scenarios include:
  • Board Meetings: Securely record high-stakes discussions with precise transcription and confidential storage.
  • Client Consultations: Generate professional summaries and action lists to share immediately after calls.
  • Team Stand-ups: Automate daily updates so developers can focus on coding rather than reporting.
  • Interview Panels: Standardize candidate evaluation notes while maintaining HR compliance standards.
  • Cross-functional Syncs: Align departments by distributing clear outcomes and assigned tasks automatically.
These use cases demonstrate how Fellow adapts to diverse organizational needs. The flexibility allows customization based on specific team structures. Integration with existing calendars ensures meetings are captured effortlessly. Notifications keep participants informed about pending actions.

How do users begin implementing Fellow in their organization?

Starting with Fellow involves connecting calendar accounts and configuring security settings. Administrators invite team members via email links or bulk upload methods. The initial setup includes defining role-based permissions to match corporate hierarchy. Users install browser extensions or desktop applications for seamless meeting capture. Training sessions help teams understand agenda creation and summary review processes. Pilot programs often start with one department before scaling company-wide. Feedback loops allow admins to adjust notification preferences and task assignments. Technical support guides users through SSO configuration if required. The learning curve remains low due to intuitive interface design. Most teams achieve proficiency within days of adoption.

Frequently Asked Questions

Does Fellow use my meeting data to train its AI models?

No, Fellow explicitly excludes customer data from AI training processes. Your meeting recordings, transcripts, and summaries remain private and are not used to improve global model accuracy. This commitment ensures your proprietary information stays within your organization's boundaries.

Is Fellow suitable for teams in heavily regulated industries?

Yes, Fellow is designed specifically for enterprise and regulated teams. It provides advanced security controls, compliance-ready features, and data isolation capabilities. Healthcare, finance, and legal sectors can utilize Fellow while adhering to strict regulatory requirements regarding data handling.

Can I integrate Fellow with my existing project management tools?

Fellow supports integrations with major communication and productivity platforms. Action items can be synced to tools like Jira, Asana, or Trello depending on available connectors. Check the current integration list on the Fellow website for specific compatibility details.