Liberty General Insurance has just launched an AI-based automated platform for both automotive and travel claims processing, with a focus on timeliness of claims settlement and improved customer experience.
Liberty’s automated platform uses AI-based algorithms to process claims with minimal human intervention. AI integration will help with several areas of the claim settlement process, including accurate and standardized claim assessment and settlement amount accuracy. Furthermore, automated systems will assist in responding to customer inquiries around the clock. Customers can use this platform, which is integrated with the Liv Mobile App, to record claims, upload documents and photos, and obtain settlement status.
Liberty hopes to provide its customers with a seamless, quicker, smarter, and standardized claim handling experience using AI.
Roopam Asthana, CEO and Whole Time Director, Liberty General Insurance, stated, “At Liberty, our key focus is to provide superior customer experience and build efficiencies in our processes. With the support of our strong technology architecture, we are confident that the AI based automated tool for travel and motor claims will further our objective of providing a differentiated claims management experience to our policy-holders. We continue to evaluate and invest in new age technologies and platforms to ensure that we offer the best solutions and experience to our customers, partners like garages and hospitals, distributors, and other stakeholders.”
Rahul Sharma, President – Claims, Liberty General Insurance, said, “Not only have we developed an ambitious artificial intelligence roadmap, but we’re already speeding down that road. With this AI-based platform, LGI will be able to deliver cutting-edge services to customers. The platform will help us create a frictionless and smooth claim settlement experience for our customers. The automated platform will increase customer satisfaction and prove a differentiating factor when our channel partners pitch our service offerings.”



































































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