See every automation, agent, and workflow in motion.
Monitor performance, reliability, latency, exceptions, handoffs, tool calls, and operational health across your full automation ecosystem.
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Logs alone are not enough.
Enterprise automation now spans AI agents, bots, workflows, APIs, scripts, orchestration layers, and human approvals. Each platform produces its own logs, metrics, and alerts — but none of them connect into a coherent operational picture.
Teams need end-to-end observability across the full automation lifecycle: from agent tool calls and bot runs to workflow completions, human handoffs, and SLA outcomes.
Observability Dashboard
What Observability tracks.
Agent success rate
Track goal completion, tool-call outcomes, reasoning failures, and overall agent reliability across deployed AI agents.
Bot and workflow completion rate
Monitor RPA bot runs, workflow executions, and process completions against expected throughput and SLA targets.
Exception hotspots
Surface the processes, steps, and integrations generating the most exceptions, retries, and failures.
Human handoff rate
Track how often automation escalates to human review, approval, or intervention — and whether that rate is trending up or down.
Workflow latency
Measure end-to-end processing time, step-level latency, queue wait times, and bottlenecks across every workflow.
SLA breach rate
Monitor SLA compliance in real time and identify which processes are most at risk of breaching service commitments.
Tool-call performance
Track AI agent tool calls, external API calls, and integration calls for success rate, latency, and failure patterns.
Failure pattern analysis
Identify recurring failure modes, time-based anomalies, dependency failures, and systemic reliability issues.
Key observability metrics.
Monitor your automation estate.
Get end-to-end visibility across every agent, bot, workflow, and integration in your automation landscape.
Monitor your automation estate