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Pega Robot Manager as a control center for your robotic workforce


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Pega Robot Manager is the control center from which you can manage, govern, and control your robots and automations.

Manage robots and their work

You can process large volumes of assignments by creating work groups, which are teams of robots that are customized for the type of work that you want them to perform.

Each work group contains at least one assignment type that is a work queue for robotic assignments. You can control the workload across your robotic workforce by starting, stopping, re-prioritizing, and scheduling assignments, and setting thresholds for end-user notifications.

Robotic work groups

Dynamically reallocate robots to maximize efficiency

Simplify robot administration and enable cost reduction by auto-balancing standby robots. Pega Robot Manager continuously monitors work groups and work queues to determine which ones to prioritize.

The auto-balancing engine dynamically dispatches robots across work groups to ensure that all open assignments are processed efficiently, reallocating robots as workloads change, or stopping redundant robots. Prepare for known peak periods by manually scheduling robots.

Get a high-level view of robot performance and automation status

Pega Robot Manager gives you the insight to monitor and improve your automations.

Keep an eye on the performance and health of your robotic workforce through detailed and highly customizable reports on robot health, exceptions, and usage data.

Understand how Pega Robot Manager balances workload across work groups by reviewing dashboards that provide graphical insight into robot status, current assignments, and work group capacity.

Analyzing robot data

Maintain robot configuration in a single location

Pega Robot Manager is the management hub for robot configuration and the control center for automations.

By managing robot settings from a central location, you ensure that the robots that reside on user workstations can retrieve up-to-date instructions for running automations at all times.

Additionally, you can control the automation life cycle by deploying automation packages to robotic work groups and departments as the automation development progresses.

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