Agentix Labs operations resource
AI Agent Observability Metrics
Production AI agents need observability that connects model behavior to business outcomes. Logs are useful, but operators need metrics that tell them when the agent is helping, stuck, risky, or drifting.
Reliability metrics
- Run success rate.
- Tool-call failure rate.
- Retry rate.
- Timeouts, partial completions, and manual recovery count.
Quality metrics
- Human approval rate.
- Override rate.
- Escalation rate.
- Acceptance criteria pass/fail results.
Risk metrics
- Policy block frequency.
- Sensitive-data handling events.
- External-write volume.
- Incidents and rollback actions.
Business metrics
- Cycle time reduction.
- Response-time improvement.
- Qualified leads routed.
- Tickets resolved or correctly assigned.
How to score it
Give one point for every checked item. Then use the result to decide what happens next.
- 0-5: observability missing.
- 6-10: enough for a pilot.
- 11-15: enough for narrow production.
- 16: strong operating dashboard.
Need a dashboard for production agent operations?
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