Every run is recorded with what triggered it, what each step did, and how long it took — searchable after the fact, not just visible while it's happening.
When a step fails, the retry attempts, the error each one hit, and whether it eventually succeeded or gave up are all part of the same record — not just a final pass/fail flag.
Volume, reliability, and time-savings numbers roll up from real run data on Automation Analytics, so 'is this workflow actually working' has an answer beyond checking that it hasn't been reported broken.
For a run that touched several systems and possibly an agent decision, tracing shows the order things actually happened in — useful for the runs that don't fail cleanly, just produce a result nobody expected.
Observability is what makes the rest of the platform trustworthy at scale — see the real numbers on Automation Analytics.