Analytics and Observability
Analytics and Observability provides the operational feedback loop needed to run AI capabilities reliably in production.
Core capabilities
- Track multi-step execution plans and runtime activity.
- Review transcripts, usage patterns, and workflow outcomes.
- Monitor health indicators for automation reliability.
- Identify optimization opportunities from measured behavior.
Typical outcomes
- Faster detection of workflow failures and quality drift.
- Better prioritization of improvements based on usage evidence.
- More predictable production operations across teams.
Operational model
- Runtime telemetry is captured across agent, workflow, and session boundaries.
- Observability data supports troubleshooting, optimization, and governance review.
- Health checks and trend analysis guide rollout and scaling decisions.