Tech Mahindra and UiPath announced their first joint solution offering – an end-to-end cognitive operations automation solution, in the area of Service Desk Operations.
Due to ongoing digital transformation efforts, service desks have become more accessible to customers, and need to support a wider and complex range of offerings. The cost of manual service desk support increases by 3X with every escalation. Further, the high volume of customer requests and limited service desk capacity leads to a high average wait and response time, which then translates into an average customer experience.
Keeping these industry pain points in mind, Tech Mahindra and UiPath have developed a solution to enhance operational efficiency, business agility and provide better customer experience. Combined with self-service capabilities, the solution will support the entire life cycle of a service desk ticket from creation to closure i.e. categorization, triaging, resolution and knowledge management.
Sameer Dania, Global Head, Business Development – Platforms, Tech Mahindra said, “TACTiX, our AI powered IT operations platform, powered with UiPath’s superior enterprise Robotic Process Automation (RPA) capabilities will provide deeper automation across the service management activities leading to increased operational efficiencies and business agility.”
In this Joint Solution Offering, Tech Mahindra has integrated their flagship AIOps (Artificial intelligence for IT operations) platform TACTiX, powered by Machine Learning (ML) and Natural Language Processing (NLP) capabilities, with UiPath’s industry leading RPA (Robotic Process Automation) capabilities and platform to provide end-to-end automation in the area of Service Desk Operations.
Venu Kannan, Chief Solutions Officer, UiPath said, “We are very excited to combine years of practical delivery experience, productized ML engine, and service desk solution from Tech Mahindra with UiPath’s enterprise RPA. This solution will improve speed of service desk resolution and help identify root cause of the issues leading to overall decrease in service requests.”