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WorkFusion and NEC enter Partnership to deploy AI-driven Robotic Process Automation in Global Markets

Alex Lyashok, CEO of WorkFusion

WorkFusion, the New York-based intelligent automation and robotic process automation (RPA) software company, and NEC Corporation, a leader in the integration of IT and network technologies, have announced a partnership to bring artificial intelligence-driven RPA to global markets. With the demand for automation and intelligence growing at an increasingly rapid pace in Japan specifically, this partnership is expected to enable the adoption and deployment of AI-driven RPA throughout the region.

“We designed our platform with intelligence and analytics at the core, which allows businesses to overcome the challenges faced not only with manual repetitive work but with legacy RPA technologies, and deliver true business value,” said Alex Lyashok, CEO of WorkFusion.

Through this partnership, NEC will bring WorkFusion to its customers around the world, beginning immediately in the Japanese market, where NEC will resell WorkFusion, providing solutions services and support to customers that are evolving their use of automation to adapt to the shifting labour laws and workforce. Built for data-first companies, WorkFusion’s technology automates business processes by combining AI, RPA and people in one intuitive platform

To kick off the partnership, WorkFusion collaborated with NEC Management Partner (NMP), NEC’s shared services organization, to develop expert cognitive bots that address specific finance and accounting processes that are unique to Japan.

“WorkFusion is uniquely qualified to address the automation needs of customers with its AI-driven RPA technology,” said Kazunori Sudo, Senior Vice President of the AI Platform Division at NEC Corporation.

The deployment of WorkFusion’s AI-driven RPA automated a range of manual processes that were too challenging for NMP’s existing work process management. This was accomplished by using WorkFusion Intelligent Automation Cloud software to implement business tasks in cooperation with NMP staff, which enabled the software’s machine learning to become familiar with a wide range of tasks. As a result, the software became able to independently carry out more tasks, which promoted the enhancement of productivity and customer service.

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