Business Systems (UK) Ltd, a leading provider of compliance and customer experience solutions has signed a channel partner agreement with NTT TechnoCross Corporation, a global provider of cutting-edge technology solutions.
The agreement will bring ForeSight Voice Mining to the UK market, offering organisations the ability to unlock real time, actionable insights from their voice communications.
ForeSight Voice Mining is a powerful solution that provides enhanced Sales, CX, Compliance and Operational Excellence by augmenting agents and supervisors through real-time support. ForeSight Voice Mining also provides managers and analysts with actionable insights for operating a profit-driven contact centre.
With this partnership NTT TechnoCross Corporation and Business Systems will work together to deliver ForeSight Voice Mining to organisations across the UK. With extensive experience in the communication recording and analytics market, Business Systems’ advanced voice and analytics solutions are used by some of the largest contact centres and financial organisations globally, as well as government bodies, local authorities, healthcare and emergency services, making them the ideal partner for NTT TechnoCross Corporation in the UK.
“We are excited to be working with NTT TechnoCross Corporation to bring ForeSight Voice Mining to our customers,” said Adam Kantor, CEO of Business Systems (UK) Ltd. “The ability to extract meaningful data from voice communications, and turn it into real time, immediately actionable insight to improve agent interactions is a game-changer for many organisations, and we look forward to helping our customers leverage this technology to drive better business results.”
“We are thrilled to be partnering with Business Systems to bring ForeSight Voice Mining to the UK market,” said Hidetoshi Seki, Board Member and Senior Vice President at NTT TechnoCross Corporation. “This partnership will enable organisations to gain valuable insights from their voice communications, helping them make more informed decisions and drive better business outcomes.”
About Business Systems (UK) Ltd
For over 30 years, Business Systems (BSL) has been a trusted leader in the digital transformation and regulatory compliance landscape. Our dedicated team of expert’s crafts customised, innovative solutions, spanning system & process design, project management, and service delivery, to drive growth and elevate Customer Experience (CX) – and can wrap it all in a managed service.
Home to one of Europe’s largest Workforce Optimisation and CX teams, and trusted by world-leading banks for Compliance, BSL is a beacon of impartiality in vendor representation. We blend this unbiased stance with our deep knowledge of Contact Centres, Compliance, and tech innovation, creating proprietary solutions like Voice Data Management and Natural Language IVR.
Whether transitioning to a cloud-based contact centre, deploying workforce management, or leveraging data pools via new technology to boost revenue, BSL commits to guiding clients every step of their growth journey, aligning strategies with evolving market trends and business goals.
About NTT TechnoCross Corporation
NTT TechnoCross Corporation is a wholly owned subsidiary of NTT (Nippon Telegraph and Telephone Corporation), one of the world’s leading telecom and IT companies with large R&D investment in AI, speech, and Big Data technologies among others. Headquartered in Tokyo, Japan, NTT TechnoCross was founded to provide innovative solutions to customers by crossbreeding its parent company’s core technologies.
Our flagship product, ForeSight Voice Mining is an AI-based contact centre analytics that leverages NTT’s award-winning speech recognition and patented emotion analysis technologies. ForeSight takes agent training and support to new heights, increases sales and operational and sales efficiency, and gives you insights for better customer experience. Foresight transforms your contact centres into customer engagement centres through real-time agent support and call monitoring as well as quantitative and objective analysis of massive call data.