NICE AI and Robotics Technology Reduces Complexities for Key UK Government Agency
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Given the scope and scale of the authority’s activities, a growing population, periodically changing legislation and the need for resiliency in the face of crises, this department required an agile, highly scalable and flexible solution. The unique NICE combination of advanced AI and unattended automation was determined to be the best option for eliminating cumbersome, time-consuming tasks, boosting productivity and improving operations. Moreover, NICE’s technology is especially well-suited to the public sector where resiliency has become a non-negotiable.
Hundreds of NICE robots automate and support a wide array of processes across the agency, including administrative tasks, data gathering, communication with customers and regulatory compliance. For example, NICE technology is helping the authority process self-service applications for payment arrangements, update changes in circumstances in multiple systems, correct errors, coordinate diverse sources of data, and more. In addition, the NICE employee virtual attendant (NEVA) provides employees contextually relevant guidance during live interactions and assists with huge seasonal surges in frontline contacts. It can also quickly combine disparate systems and adjust processes on the fly to address rapidly changing needs.
In order to automate the processing of millions of pages of hand-written forms, the government agency implemented an integration of NICE automation solutions and the Hyperscience Platform, which delivers industry-leading intelligent document processing capabilities. The authority selected the Hyperscience-NICE joint solution after a “bake-off” pilot against major global competitors, during which it was found to be the most accurate and versatile. Across multiple types of forms with over 400 fields, the combined technologies demonstrated 99.4 percent reading accuracy -- which is above the 95 percent human accuracy level -- and 100 percent automation of data extraction and export.
“We are pleased to meet this important government agency’s need for a robust, innovative robotic process automation solution that saves time, improves productivity and provides greater flexibility,” said John O’Hara, President, NICE EMEA. “Leveraging our technology with the power of Hyperscience, this agency has seen a significant return on investment through efficiencies that free up resources, reduce complexities and streamline the organization’s multiple self-service options.”
NICE Advanced Process Automation solutions are increasingly becoming the technology of choice for public sector organizations embarking on a digital transformation journey as they mechanize their operations and uncomplicate repetitive tasks. For example, NEVA provides real-time, dynamic support, such as retrieving information the frontline agent needs, when they need it, and then assisting with any routine follow-up actions. Similarly, it can ensure that change of circumstances information received through multiple channels is automatically proliferated across relevant documentation. In addition to streamlining these processes, NICE automation solutions free employees to focus on the personal touch that is critical to ensure exceptional customer experiences.
About NICE
With NICE (Nasdaq: NICE), it’s never been easier for organizations of all sizes around the globe to create extraordinary customer experiences while meeting key business metrics. Featuring the world’s #1 cloud native customer experience platform, CXone, NICE is a worldwide leader in AI-powered self-service and agent-assisted CX software for the contact center – and beyond. Over 25,000 organizations in more than 150 countries, including over 85 of the Fortune 100 companies, partner with NICE to transform - and elevate - every customer interaction. www.nice.com.
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Forward-Looking Statements
This press release contains forward-looking statements as that term is defined in the Private Securities Litigation Reform Act of 1995. Such forward-looking statements, including the statements by Mr. O’Hara, are based on the current beliefs, expectations and assumptions of the management of
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