The Neuron: AI Explained Your AI Meeting Agents Aren’t Enough: Otter.ai's Sam Liang on Enterprise Knowledge
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Dec 16, 2025 Sam Liang, Co-founder and CEO of Otter.ai, previously developed the 'blue dot' for Google Maps. In this conversation, he shares how Otter evolved from a simple transcription tool to an AI-driven meeting agent. Sam discusses the necessity of capturing meeting data to improve ROI and prevent knowledge loss. He introduces the Otter Workspace, which organizes meetings like Slack channels and explains how AI can proactively contribute during calls. The importance of privacy controls and the technical challenges of voice understanding are also key highlights of their chat.
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Meetings Are Enterprise Knowledge
- Meetings generate huge, previously lost knowledge that becomes valuable when aggregated into a shared workspace.
- Otter builds meeting-centric knowledge bases to reduce silos and surface actionable meeting content across teams.
Align Agents To Role Workflows
- Map AI capabilities to specific role workflows like sales, recruiting, and product management.
- Extract structured data from meetings and push it to systems like CRM to automate tedious follow-ups.
Voice Is The Freshest Source
- Voice meeting data is often fresher and higher priority than written docs because meetings reflect up-to-date decisions.
- Sharing meeting notes quickly prevents teams from operating on stale plans.