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//Coworker Enterprise Context

Give AI the context to work the wayyour company does.

Coworker connects your apps and maps the relationships and processes within your company. Index your data once, then use it everywhere to produce ready-to-use outputs, surface strategic insights, and automate work.

  • Enterprise Graph

    Context with depth and breadth

    Most AI tools see a slice of your data. Coworker sees the full picture. With native and MCP-based connectors, it builds an Enterprise Graph that captures not just content but the relationships between people, data, and activity across your organization.

  • Proactive AI

    Proactive AI that gets work done.

    Proactive AI knows what to work on next. Coworker builds a live view of your teams and projects, then, grounded in that context and scoped to each user's permissions, anticipates next steps like meeting prep or first drafts before you ask.

  • MCP

    Context that goes to every AI front door.

    Coworker MCP feeds governed enterprise context into Claude Code, Codex, Gemini, Cursor, Copilot, and more, so users pick whatever tool fits their work and get better results.

//Overview

What is enterprise context for AI?

Enterprise context is the knowledge AI needs to work the way a company does: its documents, conversations and records, plus the relationships between people, projects and activity, with each source's permissions intact.

DataObserve Coworker indexes your apps once into an Enterprise Graph and uses it everywhere: in search, the assistant, agents and, through MCP, in tools such as Claude Code, Codex, Gemini, Cursor and Copilot.

//Explore more withDataObserve

More from Coworker · Enterprise AI Platform

//Use cases

Coworker Enterprise Context: use cases

  • Grounded answers

    Answer questions from company knowledge instead of the open web.

  • Proactive work

    Prepare meetings and first drafts from what's happening in each project.

  • Context for AI tools

    Give coding and chat assistants governed company context through MCP.

  • Agent foundations

    Let every agent start from the same, permission-aware context.

//FAQs

Coworker Enterprise Context: questions teams ask

  • What is an enterprise graph?

    An enterprise graph maps the content in your apps and the relationships between people, teams, projects and activity, so AI can tell what is relevant to whom.

  • Does enterprise context respect permissions?

    Yes. Source-system permissions are kept with every item, and AI only uses content the user can already access.

  • Can other AI tools use Coworker's context?

    Yes. Coworker MCP feeds governed context into tools such as Claude Code, Codex, Gemini, Cursor and Copilot.

  • How long does it take to connect our apps?

    Connect each app once with its connector; indexing then runs in the background and the enterprise graph fills in as sources sync.

// Designed for enterprises

We safeguard your company data and protect workspace privacy.

Review security, data handling and deployment requirements with our team.

  • Security and privacy

    Keep sensitive information within your organization’s approved data boundaries.

  • Governance and access

    Define who can access connected data and which actions require approval.

  • Enterprise deployment

    Plan deployment around your infrastructure and operational requirements.

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