Case Study: Large US Mutual Insurance Company achieves automated global policy standardization and reduced policy deviations with Cortical.io's SemanticPro Extract & Analyze

A major commercial property insurer leveraged SemanticPro to globally standardize policies

Large US Mutual Insurance Company, a global commercial property insurer managing roughly 2,000 high‑value customers with up to 30 policies each, faced a time‑consuming manual review process as regional offices adapted centrally issued policies into different formats, languages and formulations. Cortical.io’s SemanticPro Extract & Analyze was chosen to address the inability of existing tools to handle mixed file types and semantic variations, a problem that left about 70% of documents with errors after manual review and consumed roughly one third of the review team’s time.

Cortical.io trained SemanticPro Extract & Analyze on 100 annotated regional documents so the system could compare policies word‑by‑word and clause‑by‑clause while understanding semantic differences (e.g., recognizing a Force Majeure clause even when wording changed). The solution ingests and compares documents in seconds, provides policy‑ and clause‑level views, exports results to Excel, and enables timely corrections — dramatically reducing policy deviations and minimizing the risk of errors that previously affected a large share of documents.