Coworker AI

What is Coworker AI?

Coworker AI is an enterprise platform that builds permission-aware context graphs from organizational data to support AI agents and applications. It connects to over 50 business tools and routes queries across open and closed models hosted in the US. Access requires booking a demo with the vendor.

What are the features of Coworker AI?

• Enterprise context graph (OM2)

  Continuously learns and applies a custom ontology across structured and unstructured data sources to provide context to AI clients.
• Model routing

  Directs tasks across open and closed models, balancing cost, latency, and quality, with all models hosted in the US.
• MCP integration (Coworker MCP)

  Exposes over 50 tools and organizational memory inside MCP-enabled clients like Claude Code and Cursor.
• Permission-aware connectors

  Over 50 read and write integrations with CRM, communications, support, and code tools that inherit existing access controls.
• Native workspace apps

  Dedicated interfaces for querying data, running sandboxed code analysis, building agents, and processing meetings.

What are the use cases of Coworker AI?

• Engineering operations automation

  Huuuge reported saving over 4,000 hours in their first deployment phase by automating manual research and documentation workflows.
• Sales pipeline monitoring

  An agent triggers when a Salesforce opportunity stays in negotiation for 14+ days, pulls Gong transcripts, and posts a summary to Slack.
• Cross-source deal tracking

  Queries Salesforce records, Gong call transcripts, and Slack threads together to summarize the status of a specific account renewal.