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//Coworker Agents

Agents for every team,grounded in your company.

Coworker Agents automate real work for sales, support, engineering, HR and every other team, using your company's context, your apps and the guardrails you set.

  • Runs

    Agents that run on their own

    Agents start on a schedule or an event, do the work and report back.

  • Output

    Work you can use straight away

    Agents hand back finished artifacts: briefs, replies, tickets and reports.

  • Apps

    Agents that work in your apps

    Agents read and act across your connected apps with each user's permissions.

//Overview

What are enterprise AI agents?

Enterprise AI agents are AI systems that carry out tasks on their own, such as triaging tickets, preparing account briefs or onboarding new hires, using company data and apps, within guardrails set by the business.

DataObserve Coworker Agents are grounded in your enterprise graph, act in your apps with user permissions, run on triggers and schedules, pause for human approval and are governed with owners and audit trails.

//Agents by team

One platform,agents for every department.

Sales

Sales agents

Account briefs, call follow-ups and pipeline updates without manual CRM work.

//Why Coworker agents

Agents that know how your company works

  • Enterprise context

    Grounded in your enterprise graph, not a blank prompt.

  • Actions in your apps

    Native and MCP actions with user permissions.

  • Triggers and schedules

    Run on events or on a timetable.

  • Human approvals

    Sensitive steps wait for a person.

  • Governed

    Owners, permissions and audit on every agent.

//Explore more withDataObserve

More from Coworker · Agent Platform & Orchestration

  • Agent Builder

    Agent Builder turns a plain-language description into a working Coworker agent, with steps, tools, knowledge and tests, so anyone can build agents and IT keeps control.

    • Agent Platform & Orchestration
  • Agent Orchestration

    Agent Orchestration coordinates several Coworker agents, people and systems on one workflow, with triggers, handoffs, approvals and a shared record of what happened.

    • Agent Platform & Orchestration
  • Agent Governance

    Agent Governance gives security and IT one place to see every Coworker agent, control what it can access, require approvals, evaluate quality and audit every action.

    • Agent Platform & Orchestration
  • Agent Library

    The Coworker Agent Library offers ready-made agents for sales, support, engineering, HR, finance and more, which teams can use as they are or adapt in Agent Builder.

    • Agent Platform & Orchestration

//Use cases

Coworker Agents: use cases

  • Sales

    Account briefs and CRM updates without manual work.

  • Support

    Ticket triage and drafted replies with full history.

  • Engineering

    Incident summaries and ticket hygiene.

  • Finance and HR

    Spend reviews, onboarding plans and policy answers.

//FAQs

Coworker Agents: questions teams ask

  • What is the difference between an AI assistant and an AI agent?

    An assistant responds when you ask. An agent can start on its own from a trigger or schedule and complete multi-step work.

  • Which teams use Coworker agents?

    Sales, support, engineering, HR, finance, IT and any team with repeatable knowledge work.

  • Do agents need approval to act?

    Sensitive steps can require a person's approval; everything else follows your policies.

  • Where do agents get their context?

    From your enterprise graph of connected apps, people and activity, with each user's permissions applied.

// 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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