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Case Study

Overcoming a Slow, Fragmented Underwriting Process With AI-Driven Data Intelligence

 

Industry

Insurance | Property and Casualty

Location

USA

Our Contributions

Business Process Services | AI

A U.S. based specialty managing general agent (MGA) was unable to grow its business because of inefficiencies and bottlenecks in a few business-critical processes. Coforge’s business process experts implemented an AI-driven data intelligence and reporting solution that enabled faster, more informed underwriting decisions and put them back on the path to growth.

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The Challenge

As an MGA, the client is trusted to underwrite risks and bind specialty policies for other insurers, but they were limited by slow loss run review and underwriting. These critical processes involve analyzing a large volume of unstructured data to review previous losses and claims in order to evaluate risk and price the policy appropriately.

They were not meeting industry benchmarks due to manual review processes and inefficient workflows. They were also unable to monitor broker and underwriter performance in real time, making them less responsive to clients and restricting their decision-making.

Our Approach

We built an AI‑powered data extraction and normalization engine that enabled the client to quickly transform unstructured loss run documents into high-quality structured datasets ready for analysis.

Data Integration

An AI-driven data integration layer that enables scalable data ingestion and centralized storage in a MySQL repository on AWS.

Decision Enhancement

Coforge built a cloud‑hosted, human‑in‑the‑loop (HITL) enabled AI data hub on Azure, which serves as a single source of truth across all underwriting workflows.

Performance Monitoring

Real‑time broker and underwriter performance dashboards using Power BI on Microsoft Fabric.