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.
By continuously monitoring work groups and work queues, Robot Manager determines which work groups require more robots to complete all of their assignments on time, and which work groups have more robots than required based on the service-level agreement (SLA) of open assignments and the work group priority. As a result, Robot Manager dispatches robots across work groups to ensure that the number of robots in a work group is enough to efficiently complete all open assignments.
Automatic workload balancing provides the following advantages in terms of efficiency and costs:
- Automatic repurposing keeps available robots busy, with minimal idle time.
- Robot administrators can focus on other tasks because they don't need to manually move robots between work groups or create schedules.
- As the robots are constantly redirected to complete open assignments across multiple work groups, you need fewer robots to complete the incoming work.