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What Is Automation Watchdog?
Automation Watchdog is a monitoring layer for automation workflows. It lets a workflow send lightweight API check-ins so your team can detect when expected activity does not happen, when quality degrades, or when a run does not finish as intended.
In one sentence: Automation Watchdog helps teams monitor the absence of expected behavior, not just the events that happened.
What it does
Monitor
Track expected activity
Know when a workflow should have checked in, started, continued, or finished but did not.
Model
Fit real operating patterns
Use schedules, event activation, handoffs, queue-specific conditions, and per-machine tracking.
Alert
Notify only when it matters
Send actionable notifications when the monitoring condition changes, instead of flooding teams with routine noise.
What you monitor with it
Automation Watchdog is centered on a concept called a Watch. A watch represents an operational expectation for a workflow, such as:
- a dispatcher should complete within a time window
- a performer should keep processing queue items every few minutes
- each active machine should independently report progress
- a workflow should finish before a deadline
- failure rates should stay within an acceptable threshold
Why teams adopt it
Operations
Less manual checking
Support teams do not need to repeatedly inspect job histories, queues, or inboxes just to confirm that a run is healthy.
Coverage
Better monitoring depth
Teams can represent timing, quality, handoffs, and recovery behavior that is often difficult to express in a native platform alone.
Where it fits best
Automation Watchdog was designed with RPA operations in mind, where teams often need confidence that orchestrated jobs, queues, and robot fleets are behaving correctly after deployment. The same monitoring model also works for ETL jobs, scheduled scripts, integrations, and other automation workflows.