Policy Intelligence Engine for a Large Insurance Group
A major insurance company partnered with Gen AI CM to create a Policy Intelligence Engine that parsed legacy policy PDFs, extracted terms, and flagged risk anomalies. The solution supported underwriters with summarized policy interpretations and contextual recommendations.
Technology / Tools / Frameworks Used:
- Private LLMs with LangChain-based RAG stack
- Custom rule engines layered with Named Entity Recognition (NER)
- S3 + DynamoDB for document state management
- AWS Comprehend + spaCy pipelines for extraction
- Integration with internal policy admin systems via secure APIs
Client Value Delivered:
- Reduced underwriting analysis time by 60%
- Flagged risk exposures in 9% of legacy policies
- Enabled real-time policy simulations during onboarding
- Improved audit readiness across the entire product portfolio
