Predict surveyor requirements in real-time using Agentic AI, which continuously learns from claims, vehicle, image, and geo-data patterns. This enables insurers to assess accident severity autonomously, reduce unnecessary inspections, optimize field resource deployment, and accelerate claims processing.
Leverage self-learning fraud detection agents that analyze policyholder behavior, claim frequency, repair history, and anomalies across the policy lifecycle. The Agentic Fraud Model continuously refines risk scoring and pattern recognition using adaptive learning, automatically escalating high-risk claims to fraud teams while mitigating false positives.
Newgen’s Agentic Fraud Workbench orchestrates rule-based and AI-driven fraud detection in a unified platform. It enables real-time risk triaging, automated case allocation, predictive fraud mitigation, and continuous retraining, ensuring faster fraud resolution and reduced revenue leakage.
The Agentic Reserve Model dynamically forecasts claim reserves using real-time data, adjusting predictions based on market trends, claim severity, and payout history. It autonomously benchmarks reserve accuracy, ensuring optimal financial planning, solvency management, and compliance.
Compare autonomous reserve predictions with actual claim payouts, refining forecasting models in real-time. The Agentic Reserve Validator enables insurers to adjust financial buffers dynamically, ensuring precision-driven claims reserving and capital optimization.
Predicts the necessity of a physical surveyor by analyzing vehicle damage, crash data, and location. Automates surveyor dispatch for complex cases while fast-tracking digital processing for minor claims.
Identifies fraudulent claims before processing by analyzing claim frequency, repair shop history, and geospatial anomalies. Flags high-risk claims and routes them to dedicated fraud teams for further investigation.
Predicts expected payout ranges based on historical claims, real-time data, and AI-based risk factors. Continuously refines reserve estimations to minimize financial miscalculations and solvency risks.
High-risk claims are assigned for manual review, while low-risk claims are auto-processed for faster payouts. AI dynamically categorizes claims based on severity, fraud probability, and payout estimations.
Discover how Newgen empowers life insurers with predictive models to enhance underwriting, mitigate fraud, and drive faster, smarter claims decisions.
Request a DemoEnter your information, and a Newgen representative will be in touch shortly.