Cutting Processing Time by 45%: How AI-Driven Cleansing & Enrichment Transformed Insurance Data

2 Pages

This case study shows how Xceedance redesigned a global insurer’s data cleansing workflow to cut processing time by 45% and boost quoting speed, renewal rates, and underwriting capacity. It describes the challenges: slow submissions, inconsistent spreadsheets, and the need for validated, rule-based data. Xceedance implemented a graded cleansing engine, NLP-powered slip extraction, ML-based predictions, and automated SOV workflows. The results include 96% SOV success rate, 33% faster quoting, and 26% greater underwriting capacity.

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Cutting Processing Time by 45%: How AI-Driven Cleansing & Enrichment Transformed Insurance Data

Cutting Processing Time by 45%: How AI-Driven Cleansing & Enrichment Transformed Insurance Data

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