Case Study: North America P&C Insurance Leader achieves 70%+ faster underwriting with BRIDGEi2i Analytics Solutions

Autonomous underwriting decisioning using deep learning

BRIDGEi2i Analytics Solutions worked with a large North America P&C Insurance Leader company that needed an autonomous underwriting solution for commercial insurance. The customer wanted to emulate underwriters’ decisions to reduce manual effort, streamline processes, and improve underwriting quality.

BRIDGEi2i Analytics Solutions delivered an end-to-end automated underwriting engine using computer vision, OCR, NLP, web scraping, and deep learning. The solution extracted and integrated data from structured and unstructured sources, automated feature engineering and classification, and supported appetite checks, risk measurement, and coverage recommendations through a custom user interface, helping cut underwriting decisioning time by 70%+ and increase throughput.