From 14 Days to 6 Hours: AI-Driven Underwriting for a National Insurer
Kunde: Stratford Insurance Group
Deployed an intelligent document processing pipeline that automated 84% of underwriting document review, collapsing a 14-day cycle to under 6 hours and cutting processing costs by 56%.
84% of submissions processed end-to-end without human touch
Automation Rate
14 days → under 6 hours average
Processing Time
8.3% → 0.4% (95% reduction)
Data Extraction Error Rate
$4.1M → $1.8M (56% reduction)
Annual Processing Cost
Die Herausforderung
Stratford's underwriting team manually reviewed 12 distinct document types — loss run reports, acord forms, financial statements, inspection reports — extracting 200+ data fields per submission. The 14-day average cycle was losing business to faster competitors. An 8.3% data extraction error rate was creating downstream claims disputes, and $4.1M per year in processing costs was unsustainable.
Die Lösung
We built a multi-stage IDP pipeline: a fine-tuned document classification model (99.1% accuracy across 12 types), an LLM-based extraction layer for structured and unstructured fields, and a human-in-the-loop validation interface for edge cases that fell below confidence thresholds. Every decision is logged in a compliance audit trail satisfying state insurance regulatory requirements.