Case study: End-to-End Underwriting Automation with an Integrated Workflow Application
The client, a leading commercial insurer in North America, was using siloed and legacy systems to process new business or renewal submissions, which were highly manual and resource intensive. They were looking to streamline their underwriting process to reduce deal processing time and improve conversions.
How BRIDGEi2i Delivered Value?
BRIDGEi2i built an AI solution using Computer Vision(CV), Optical Character Recognition(OCR) & Natural language Processing (NLP) techniques to extract and summarize key underwriting parameters from a diverse set of unstructured documents. We also built a bespoke, one-stop shop application for the underwriters.
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