Handling underperforming robots
Pega Robot Manager monitors failed robotic automations over a period of time to stop underperforming robots. By identifying and stopping robots that fail their assignments too often, Pega Robot Manager reduces the total number of failed assignments as well as the maintenance effort needed from human operators to clear such assignments.
You can influence how Pega Robot Manager evaluates robot performance by using the following failure threshold types that are applicable at the work group-level:
- Number of consecutive failed assignments within the alert evaluation time
- Percentage of failed assignments within the alert evaluation time
In addition, Pega Robot Manager sends warning messages about robots that are approaching a failure threshold. Failing robots can then receive human attention before Pega Robot Manager stops them.
- Understanding robot failure thresholds
Learn about the failure thresholds and other settings through which control how Pega Robot Manager determines whether robots are underperforming.
- Configuring robot failure tolerance
You can configure work group-specific thresholds to ensure that robots that fail their assignments too often cannot work in the context of the current work group and generate failed assignments.
- Auto-balancing robot workload across work groups
Pega Robot Manager uses Auto-balancing to dynamically move robots between work groups to maximize robot efficiency and ensure robotic work assignments are processed within SLA.