Home > Live Webcasts

Contact Center Automation Made Robust with Customer Service RPA – Technology Showcase

Jacada

Presented By: Jacada



Live Date: July 19, 2018. PLEASE SIGN IN FOR THE RECORDING.

Presented by Jacada

Please sign in below to continue


About the Webcast

Contact Centers are not the typical "low hanging fruits" for enterprise automation, often characterized by high diversity and high complexity – both known automation killers. However, new technologies are changing this, making Customer Service Robotic Process Automation (Customer Service RPA) a viable option.

Jacada breaks down the traditional segmentation of front office and back office automation and introduce Customer Service RPA as a bot/human hybrid automation that amplifies agent productivity rather than replacing the agent. 

Free the agent to deliver impactful conversations with empathy while the robot is automating manual and tedious data entry, complex navigation sequences, and cut & paste operations.    

Join us as we demonstrate the productivity gains that Customer Service RPA brings to contact center automation and how leading contact centers are already driving substantial value from automation.   

Key Discussion Points:  

  • How to leverage RPA to intelligently assist agents
  • Contact center automation case studies with high ROI
  • Best practices for a successful automation deployment in the contact center 

 Join us as we demonstrate how leading contact centers driving substantial value from automation.

   

About the Presenters

Rich Garrett, Director Solutions Consulting - EMEA & APAC

 Rich has spent the last 15 years of his career with a focus on customer experience. From designing and developing transformational natural language systems, to creating and delivering industry-leading “digital concierge” sales and service experiences for global Fortune 100 brands, Rich’s passion is to help enterprises realise the business value inherent in giving consumers positive brand interactions with simple and efficient outcomes.