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Technology · AgentOps

Agents can run
when something’s watching.

AgentOps helps teams observe, monitor and control AI agents after deployment — so agent behaviour remains visible, measurable and accountable once it’s live in production.

Live agents under the oversight rail
FLAGGEDto human

Agents can run in production because every action is watched — passed, paused or escalated to a human. Illustrative; not a measured result.

What it watches

An agent acts. AgentOps watches.

AgentOps helps teams observe, monitor and control AI agents after deployment — so agent behaviour remains visible, measurable and accountable.

  • Agent behaviour monitoring
  • Tool-call tracking
  • Workflow observability
  • Failure detection
  • Escalation paths
  • Human-override visibility
  • Operational reporting
The question that matters

Your agents are acting. Can you prove they’re under control?

AI agents don’t just respond — they use tools, call APIs, trigger workflows, and affect business outcomes. Once they’re live, the question is no longer whether they work in testing, but whether you can see what they’re doing in production.

AgentOps makes agent behaviour visible, measurable and accountable — so the ones you put into production can keep running, because something is watching every action they take.

Where it fits · Run & Optimise

What teams do with it.

AgentOps powers the Run and Optimise stages — the part of the lifecycle that begins the moment an agent goes live and never really ends.

Monitor production agents

See what live agents are doing — every tool call, workflow step and outcome — instead of trusting they behave.

Detect unsafe or unexpected actions

Catch the action that shouldn’t have happened, while it’s happening — not in the post-mortem.

Track agent workflow reliability

Know where agents succeed, stall or fail across the workflows they run.

Support continuous assurance

Keep agents accountable after deployment, so sign-off holds in production, not just in testing.

Put your agents under oversight.

Start with an AI Exposure Snapshot, or talk to us about the agents you already have in production.