Genpact has launched its Genpact Insurance Policy Suite aimed at transforming the commercial and specialty business insurance sector. Part of Genpact’s Service-as-Agentic-Solutions™ portfolio, the suite uses AI-powered workflows to automate and streamline the insurance process, eliminating repetitive administrative tasks, reducing cycle time, and providing data-driven insights for insurers.
AI-Powered Efficiency for Insurers
The new suite is designed with underwriters in mind, helping them improve their efficiency and focus on strategic tasks like delivering faster quotes, strengthening broker relationships, and increasing submission-to-bind ratios.
“We designed the Genpact Insurance Policy Suite with underwriters in mind so they can focus on delivering faster quotes, building better broker relationships, and increasing submission-to-bind ratios,” said Jinsook Han, Chief Strategy, Corporate Development & Global Agentic AI Officer at Genpact. “We understand how complex insurance processes and documentation can be, so we designed our solution with observability, audit trails, and role-based controls built in, giving carriers and underwriters better transparency and insights.”
Purpose-Built for Insurance
The Genpact Insurance Policy Suite is purpose-built for commercial and specialty insurance, utilizing Microsoft Azure’s AI Foundry Models and Azure Analytics Services to orchestrate underwriting support tasks. This helps close the gap between the initial submission and the bind process, making it faster and more efficient.
The suite consists of four modules, each powered by a network of specialized AI agents that can classify, extract, and summarize data, enhancing touchless processing, detecting anomalies, and ranking risks. These features speed up decision-making and quote generation, allowing insurers to work more efficiently.
With this new offering, Genpact aims to simplify the traditionally complex insurance workflows, improve operational efficiencies, and enable insurers to respond more quickly to market demands.
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