Key Features of Newgen’s Agentic Claims Automation for General Insurance
AI-driven Damage Assessment & Resource Allocation
Analyze damage severity across Property, Fire, and Marine claims using AI-powered image and sensor data analytics. Automate surveyor dispatch for large-loss claims while fast-tracking digital processing for minor cases, optimizing resource deployment and claims resolution.
Fraud Intelligence & Real-time Risk Scoring
AI-powered fraud models analyze historical claims data, property damage patterns, repair shop behavior, and policyholder risk scores. Intelligent fraud triaging escalates high-risk claims while enabling the seamless processing of genuine claims, reducing revenue leakage and false positives.
AI-driven Fraud Case Management & Recovery Optimization
Detect fraud across Property, Marine, and Fire claims with an AI-powered case management system. Automate fraud identification, case escalation, and litigation workflows, improving fraud detection rates and optimizing recovery efforts.
Predictive Claims Reserving & Capital Optimization
AI-driven claims reserving dynamically adjusts reserve amounts based on real-time property damage, fire risk exposure, and payout trends. Optimizes capital allocation, enhances solvency management, and improves financial accuracy.
Continuous Reserve Validation & Risk Adjustment
Validate reserves against real-time payouts and market shifts. AI-powered reserve monitoring ensures accurate financial forecasting and risk-based solvency management.
Built-in AI models for General Insurers
AI-powered Property Damage Assessment Model
Leverages AI and geospatial data to assess property damage post-disaster, automating claim categorization, repair cost estimation, and surveyor dispatch. Improves efficiency in large-loss claims management.
AI-driven Fire & Marine Fraud Prevention Model
Detects fraudulent claims in fire and marine insurance by analyzing claim irregularities, repair shop collusions, and false loss reports. Ensures real-time fraud mitigation.
Predictive Marine Cargo Loss Reserving Model
AI forecasts marine cargo loss reserves by analyzing shipment routes, weather conditions, and historical loss patterns. It adjusts dynamically for real-time accuracy.
Smart FNOL Triage & Risk-Based Claims Processing Model
AI auto-triages claims based on FNOL insights, policy conditions, and historical claim behaviors. It enables risk-based automated or manual claims workflows for faster settlements.
Non-journey Use Cases for Insurance
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