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The most common use cases for CX automation are for not for the customer; they're designed to augment agent performance. The biggest challenge for agents is having to do back-office tasks and search knowledge bases while servicing a customer, hence the importance of robotic process automation and striking a balance between the human touch and automated processes. In this podcast interview with CCW Digital, Sateesh Seetharamiah, vice president and global product head at AssistEdge for EdgeVerve, a subsidiary of Infosys, discusses why cutting-edge CX automation tools combine RPA with artificial intelligence to augment agent performance.
By Seth Adler5
33 ratings
The most common use cases for CX automation are for not for the customer; they're designed to augment agent performance. The biggest challenge for agents is having to do back-office tasks and search knowledge bases while servicing a customer, hence the importance of robotic process automation and striking a balance between the human touch and automated processes. In this podcast interview with CCW Digital, Sateesh Seetharamiah, vice president and global product head at AssistEdge for EdgeVerve, a subsidiary of Infosys, discusses why cutting-edge CX automation tools combine RPA with artificial intelligence to augment agent performance.