Soapbox Blog

Melbourne, 7 November 2018 –, the provider of an Artificial Intelligence (AI) intelligent service automation platform that combines predictive search, natural language understanding and machine learning for service management, has announced the appointment of Neil McKinnon as Chief Product Officer.

Based in Melbourne, McKinnon will be responsible for ongoing development of the AI-driven system to accelerate the next generation of intelligent service management enabling organisations to scale service capacity, maintain service quality and deliver service consistency.

McKinnon has more than 30 years’ experience in roles spanning software development and architecture, consulting, and executive management.   He joins from Keystone Management Solutions (now DXC Fruition Australia and New Zealand) which he co-founded and where he provided the technical leadership for the establishment and direction of Keystone and its services.  During his eleven years with the company he pioneered the cloud delivery of service management in Australia and went on to lead the DXC Fruition business.

“Neil has long been an advocate and evangelist of cloud delivery of software and his experience will now support our capacity to deliver a better service experience while improving our customers’ operational efficiency and increasing productivity.  We’re excited that he will now lead a pivotal role in in delivering AI data-driven intelligent enterprise systems and are thrilled to have his skills and experience applied in the modern enterprise,” said Dion Williams, Co-Founder and CEO,

Soapbox was born from the observation customer service organisations are under increasing pressure to reduce operating costs while maintaining high levels of customer services.  The company’s intelligent service management platform combines predictive search, natural language understanding and machine learning to enable customers to assist service agents and customers to fulfil requests, provide answers and automate repetitive tasks.  It leverages AI technologies to build knowledge and gather insights from historical and day-to-day experience.

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