Client: Global Insurance Provider

Challenge:
The insurer faced slow claims processing, high levels of fraud, and difficulty personalizing policies due to fragmented data across multiple systems.

Solution (Detailed):
Chrysalis implemented a big data and AI-driven insurance analytics solution with:

• AI-Powered Claims Triage – Automated classification and prioritization of claims using historical claims data.
• Fraud Analytics – Machine learning flagged suspicious claims patterns in real time.
• Predictive Underwriting – AI models analyzed customer demographics, health, and historical data to improve risk scoring.
• Personalized Policy Recommendations – Big data analytics identified cross-sell and upsell opportunities.

Results:
✔ 50% faster claims processing.
✔ 30% reduction in fraudulent claims payouts.
✔ Increased revenue from personalized policy recommendations.