Otter.ai has launched a suite of enterprise features, including a public API and support for the Model Context Protocol (MCP), designed to enhance accessibility to meeting data across third-party platforms. This functionality allows organizations to automatically input meeting transcripts into internal knowledge bases, enabling efficient data management from platforms like Zoom and Microsoft Teams. Sam Liang, founder and CEO, emphasized that this integration transforms unstructured voice data into actionable insights, allowing natural language queries for deeper understanding. Sales teams can leverage this by creating dedicated channels to store client-related meetings, enhancing access for present and future employees. Otter’s new Agentic AI chat capability enables querying of meeting histories for better client engagement. Privacy remains a priority, with meeting owners retaining control over transcript visibility. This empowers IT and compliance teams with enhanced governance capabilities for sensitive corporate data.
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