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//Connectors & actions

AI that completely understandsyour business.

Connect all your apps to Coworker. Coworker understands your company's context to automate work.

  • Actions

    Invoke actions using natural language

    Tell Coworker what you want to get done and it takes action using its knowledge of how you like to work.

  • Automations

    Automate work by combining triggers with actions

    Trigger agents based on events or schedules and have them take action on your behalf.

  • Controls

    Take action with enterprise controls

    Set clear boundaries for what agents can and can't do, with actions that respect user permissions and human-in-the-loop controls that let you require approval before execution.

  • Connectors

    Connect to all your apps, instantly

    With native and MCP-based connectors, Coworker taps into your app ecosystem, so you can start handing off work to AI.

  • Security

    Work securely, within the right guardrails

    Users only see the data and take the actions they're permitted to, with granular access controls, human-in-the-loop checkpoints, and AI security models that keep your enterprise secure.

  • Context

    Bring deeper context to every workflow

    Every action draws on the Enterprise Graph, so agents know the people, projects and history behind the work they're doing.

//Overview

What are AI connectors and actions?

AI connectors link an assistant or agent to the apps a company uses, so it can read their content; actions let it change things in those apps, such as updating a record or sending a message.

DataObserve Coworker provides native and MCP-based connectors and natural-language actions, combines triggers with actions for automations, and enforces user permissions and human-in-the-loop approvals before anything runs.

//Explore more withDataObserve

More from Coworker · Enterprise AI Platform

//Use cases

Connectors & Actions: use cases

  • Natural-language actions

    Ask Coworker to update records, book meetings or post updates.

  • Event automations

    Trigger agents from new tickets, deals or schedules.

  • Approval flows

    Require a person to approve sensitive actions first.

  • Custom tools

    Add your own APIs as actions through MCP.

//FAQs

Connectors & Actions: questions teams ask

  • What is an MCP connector?

    An MCP connector uses the Model Context Protocol, an open standard, to let AI discover and call an app's tools and data in a consistent way.

  • Can actions require approval?

    Yes. You can require human approval before execution for any action, such as sending email outside the company.

  • Do actions run with the user's permissions?

    Yes. Actions respect each user's permissions in the source app, so AI can't do what the user couldn't.

  • Can I add my own tools as actions?

    Yes. Your own APIs can be added as actions through MCP, under the same permission and approval rules.

// 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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