Infosys subsidiary updates AssistEdge RPA

EdgeVerve, a wholly-owned subsidiary of Infosys that offers software solutions on cloud and on-premise, is updating its AssistEdge robotic process automation (RPA) solution to make it more efficient for its clients.

The new update comes with an artificial intelligence (AI)-powered engine called Albie, which will enable better and faster solutions delivery across processes like design and management by gathering contextual intelligence and adding them to business insights, an official statement said. 

Albie will also be able to provide predictive resource management and other cognitive services, the statement added.

“AssistEdge 18.0 is a significant step towards our vision of automation singularity. Powered by Albie, organisations will be able to seamlessly integrate human specialists with digital bots to create more scalable and secure process automation. Organisations will see an improved bottom line, enhanced customer experience and enterprise agility at every level,” Atul Soneja, global head of Edge products and Infosys Nia, said. 

Nia is Infosys’s AI and machine learning (ML) platform.

Albie is expected to push the automation frontier to 95% for tasks involving human discretion, Soneja added.

Albie and the entire software update was based on 18 patent assets around performance prediction, deployment, AI and orchestration, the statement said. 

Last month, EdgeVerve had partnered with Al-Ahli Bank to automate the Kuwait-based retail bank’s processes using its AssistEdge suite.

The company had formally launched the cloud-based RPA solution

in July to provide enterprise customers with intelligent automation as a service as well as ensure faster return of investment.

In June, the company had rolled out a contact or call centre solution called AssistEdge Engage with similar automation features. 

The company had said Engage integrates assisted and unassisted automation capabilities and can deliver increased first-call resolution by up to 15% and minimise operational costs by 30%.