Operations
AgentOps
The operating layer for deployed agents: identity, audit review, evaluation, cost, risk, and drift management.
AgentOps is the practice of monitoring and governing deployed AI agents in production. It covers identity records, audit trails, CLEAR scorecards, cost and usage reporting, risk review, drift detection, and revocation readiness.
Why it matters
Agents are not finished when a demo works. They need operating review, evidence, cost controls, quality baselines, and clear ownership.
How HARNEXA uses it
HARNEXA exposes AgentOps evidence through public samples and private runtime reports so operations, CTO, and risk stakeholders can inspect what happened.
FAQ
Questions this definition answers.
What does AgentOps add beyond logging?
It turns logs into an operating cadence: scorecards, risks, approvals, usage, open issues, and recommended actions.
Who reviews AgentOps?
Usually the workflow owner, CTO or data lead, risk/legal stakeholder, and HARNEXA founder during the operating cadence.
Need these definitions mapped to a live commerce workflow, agent estate, or protocol-readiness path?
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