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Agent governance platform

Enterprise Agent Control Tower

A unified operating view for HR, finance, browser, and customer-ops agents: permissions, status, risk, evals, and audit logs.

Except where public-data sources are explicitly named, pages use synthetic demo data only. Not based on any employer, customer, or production system.

Business input

An enterprise has multiple AI agent pilots and needs a single operating view.

Agent fleet
HR, finance, browser workflow, and customer-ops agents.
Governance needs
Permission-aware access, risk tiers, eval scores, exception escalation, and audit logs.
Operating goal
Decide which agents can continue, which need tighter review, and which must pause.

Human review / audit

  • Each agent has an owner, data sources, tool permissions, and approval boundary.
  • High-risk actions must enter the human review queue.
  • All recommendations are based on synthetic telemetry.

Agent steps

  1. 1Aggregate runtime statusCompleteRead task volume, success rate, manual intervention, and latest exceptions per agent.
  2. 2Check permission boundariesReadyConfirm each agent only reaches approved data sources and tools.
  3. 3Run eval policiesReadyCombine citation, schema, approval, and policy-violation signals into risk tiers.
  4. 4Recommend operations actionsReadySuggest continue, add review, freeze tools, or redesign before broader rollout.

Output

Highest-priority alert

Browser Agent needs tighter submit permissions

Final responsibility actions must stay behind human confirmation.

Healthy agent

HR Policy Agent

Citation coverage is stable and human correction rate is low.

Governance action

Weekly eval review

Bring eval scores, exceptions, and human corrections into one operating cadence.

What this proves

agent governanceplatform thinkingsecurity and access boundariesoperations readiness