Robotic Process Automation still suffers from poor resource management, often requiring humans to manually allocate bots where they are needed as demand fluctuates, according to PegaSystems, which says AI can deploy bots more efficiently.

This week PegaSystems, best known for its customer engagement and operations automation software, launched Pega RPA Auto-balancing, an industry first tool to automatically provisions workloads between an organisation’s available bots.

The company says it is the answer to the manual intervention RPA many systems still, despite their name, are heavily reliant on.    

A company announcement says: “When new or unexpected needs arise, the feature dynamically and intelligently reallocates bots in real time to get the work done. Pega RPA Auto-balancing will also be able to prioritise more important work over less critical jobs when bot demand exceeds capacity – enabling organisations to stop wasting money on unnecessary supplemental bot licenses and management resources.”

Pega, popular with banks for its customer management software, including Australian giant CommBank, has spent much of 2020 developing a “fully automated robotic process infrastructure”. The company released “X-Ray Vision”, a feature to detect and repair broken bots, and “Pega Synchronization Server” to keep bots updated.

“Too many organisations are trying to overcome RPA’s many limitations by, ironically, buying even more bots,” said Eric Musser, general manager, intelligent automation, Pegasystems. 

“This just results in more bot management headaches and costs them more money while never truly reaching scale. In our latest step towards hands-free RPA, Pega RPA Auto-balancing makes it simple and painless to maximise bot efficiency and reduce costs without human intervention — bringing true automation across the entire RPA lifecycle.”  

Pega RPA Auto-balancing is available now and part of Pega Robot Manager. The company says the ability to prioritise bots will be available by the end of he year.

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