Insurance & Actuarial Engine

AI-driven insurance underwriting, claims processing, and actuarial modeling. Supports policy comparison, risk assessment, premium calculation, fraud detection, and regulatory compliance across life, health, property, and casualty insurance lines.

Overview

An intelligent agent skill for insurance professionals, actuarial analysts, and insurtech innovators. Covers the full insurance value chain from product design to claims settlement.

Capabilities

1. Underwriting Intelligence

• Automated risk assessment using structured and unstructured data
• Medical underwriting with ICD code mapping
• Property valuation and catastrophe risk modeling
• Policy eligibility determination with reason codes

2. Actuarial Modeling

• Loss reserving (Chain Ladder, Bornhuetter-Ferguson, Cape Cod)
• Pricing models (GLM, GAM, machine learning)
• Mortality and morbidity table generation and analysis
• Stochastic simulation for capital modeling (Solvency II, IFRS 17)

3. Claims Processing

• First Notice of Loss (FNOL) data extraction and triage
• Fraud detection using anomaly detection and network analysis
• Claims reserving and settlement estimation
• Subrogation opportunity identification

4. Policy Management

• Multi-carrier policy comparison and recommendation
• Coverage gap analysis and upsell identification
• Policy document extraction and summarization
• Renewal risk scoring and retention strategy

5. Regulatory Compliance

• IFRS 17 financial reporting assistance
• Solvency II / RBC ratio calculation
• GDPR / CCPA data privacy compliance checks
• State-level insurance regulation tracking (US NAIC)

Usage Examples

• "Underwrite a commercial property policy for a 50,000 sq ft warehouse in Florida"
• "Calculate IFRS 17 contractual service margin for my life insurance portfolio"
• "Detect potential fraud in these 200 auto claims"
• "Compare 5 health insurance plans for a family of 4"
• "Run stochastic capital model with 10,000 simulations"

Data Sources

Insurance APIs (Verisk, ISO), actuarial tables (SOA, CAS), regulatory databases (NAIC, EIOPA), and public health datasets.