INSURANCE

AI for the Insurance Industry

Detect claims fraud, sharpen underwriting, automate compliance, and retain policyholders with AI purpose-built for insurance complexity.

Industry Challenges

Insurance Pain Points

Insurance fraud costs the industry over $80 billion annually. Organized fraud rings exploit manual review processes and siloed data.

Inaccurate risk assessment leads to adverse selection, inadequate reserves, and unprofitable portfolios.

Solvency II, IFRS 17, and state-level regulations require continuous monitoring and actuarial evidence.

Policy lapse rates above 15% erode lifetime value. Traditional retention models miss behavioral churn signals.

Solutions

55% more fraud identified

ML models analyze claim narratives, medical records, repair estimates, and network connections to detect organized and opportunistic fraud.

25% loss ratio improvement

Predictive risk scoring with explainable factors, portfolio optimization, and real-time pricing recommendations.

60% faster reporting

Automated Solvency II and IFRS 17 reporting, reserve adequacy monitoring, and regulatory submission preparation.

35% churn reduction

Behavioral signals, policy usage patterns, and life-event triggers predict at-risk policyholders before they lapse.

Relevant Products

Claims fraud detection and revenue protection

Model validation and actuarial testing

See how leading insurers use Zynoviq to detect fraud and optimize underwriting.