Uniphore is a Conversational AI technology company that enables businesses globally to deliver transformational customer service across touchpoints by providing an integrated suite of software products for Conversational Analytics, Conversational Assistant, and Conversational Security. Last year, the company raised $140 million in Series D funding and acquired an RPA Niche player Jacada. Yesterday, Uniphore announced the addition of new solutions to its flagship Conversational AI & Automation platform.
The newest addition is U-Assist In-Call, an in-call automation solution, which comes in two distinct packages: Bolt and Max. U-Assist In-Call is the industry’s most advanced agent assist solution that delivers the next-best actions, leveraging the intent, sentiment, and tonal analysis as well as desktop automation using attended RPA.
Another solution Uniphore is also unveiling is the industry’s first state-of-the-art workflow designer that empowers business users to prioritize innovation and business growth with a quick time-to-market for the next generation of customer experience applications. The designer includes an integrated RPA that can be used during a call to assist the agent or post-call for related follow-up actions needed.
“I’m extremely proud of the work that our engineering and product teams have done to deliver an unparalleled conversational AI and automation platform. The importance of delivering a seamless in-call experience powered by AI, automation, and RPA is significant in that the combination enables us to provide unmatched ROI as we can handle complex interactions and not just simple ones. Our technology increases customer satisfaction, reduces agent errors, helps ensure promises made to customers are kept, and thus ensures that every interaction is followed up with on time and with minimal probability for repeat customer calls.”
Moni Manor, Chief Product Officer, Uniphore
To learn more about the top benefits and features of U-Assist In-Call Bolt and U-Assist In-Call Max, proceed to the source page.