Shared agentsCoworker Agents
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.
- Agent Platform & Orchestration
//Agent Governance
Govern every agent,from build to retirement.
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.
Policy
Policies checked before agents act
Each agent action is checked against identity, data and action policies first.
Audit
Every action on the record
Who triggered the agent, what it read, what it did and who approved it.
Quality
Quality measured, not assumed
Agents are evaluated on accuracy, safety and policy, before and after release.
//Overview
What is AI agent governance?
AI agent governance is the set of controls that keep AI agents safe and accountable: an inventory with owners, least-privilege access, approval policies, quality evaluation, monitoring and audit trails.
DataObserve Coworker Agent Governance gives security and IT one place to see every agent, scope what it can reach, require approvals, score quality before and after release and pause any agent instantly.
//Governance across the lifecycle
Inventory, permissions,approvals and monitoring.
Inventory
Know every agent
One inventory of every agent, its owner, tools and users.
//Controls security teams ask for
Agents with owners, limits and a record
Agent inventory
Every agent, owner and user in one list.
Least privilege
Scoped access per agent and action.
Approval policies
Human sign-off for sensitive actions.
Evaluation
Quality scored before and after release.
Kill switch
Pause or retire any agent instantly.
Audit export
Records for security and compliance reviews.
//Explore more withDataObserve
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Agent Orchestration coordinates several Coworker agents, people and systems on one workflow, with triggers, handoffs, approvals and a shared record of what happened.
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//Use cases
Agent Governance: use cases
Security review
Give security one inventory of every agent and its access.
Compliance
Export audit records for regulators and auditors.
Risk control
Require approval for sensitive actions.
Quality assurance
Score agents before and after release.
//FAQs
Agent Governance: questions teams ask
Why do AI agents need governance?
Agents act on their own across business systems. Without owners, scoped access and audit, no one can say what an agent did or why.
Can an agent be stopped immediately?
Yes. Any agent can be paused or retired from the governance console.
How is agent quality measured?
Agents are evaluated on accuracy, safety and policy compliance using test sets before release and monitoring after.
Does every agent need an owner?
Yes. Every agent has an accountable owner and a review date, and agents without one are flagged.
