Agentic Journeys for Insurance
Drive the Future of Motor Claims with Agentic AI
Empower your operations with AI agents to drive smarter underwriting and faster, more accurate claims management. Leverage predictive models and agentic frameworks for advanced fraud detection, early claim probability assessment, and dynamic risk scoring, improving underwriting precision, aligning risk selection with claim propensity, and ensuring profitability, compliance, and customer-centricity.
Key Features of Newgen’s Agentic AI for Motor Insurance
Autonomous Surveyor Need Prediction & Resource Optimization
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.
Agentic Fraud Intelligence & Adaptive Risk Scoring
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.
End-to-end Case Management with Autonomous Escalation
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.
Agentic Claims Reserving with Micro-level Forecasting
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.
Predictive Reserve Validation & Continuous Optimization
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.
Autonomous Surveyor Need Prediction & Resource Optimization
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.
Agentic Fraud Intelligence & Adaptive Risk Scoring
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.
End-to-end Case Management with Autonomous Escalation
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.
Agentic Claims Reserving with Micro-level Forecasting
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.
Predictive Reserve Validation & Continuous Optimization
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.
Built-in AI models for Motor Insurers
Crash Assessment & Surveyor Deployment Model
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.
Intelligent Fraud Detection & Prevention Model
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.
Automated Claims Reserving with Continuous Learning Model
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.
Context-aware Claims Segmentation Model
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.
Crash Assessment & Surveyor Deployment Model
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.
Intelligent Fraud Detection & Prevention Model
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.
Automated Claims Reserving with Continuous Learning Model
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.
Context-aware Claims Segmentation Model
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.
Explore Newgen’s Motor Insurance Solutions
Non-journey Use Cases for Insurance
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Frequently Asked Questions
Newgen’s AI-first Claims Automation Solution for Motor Insurance streamlines the end-to-end motor claims lifecycle, enabling insurers to achieve operational efficiency, customer satisfaction, and faster claim resolution through advanced AI-driven automation.
Newgen’s AI-first Claims Automation Solution for Motor Insurance tackles key challenges such as resource-intensive manual processing, inadequate automation, excessive human dependency, limited data analysis, and siloed systems that hinder efficiency and customer satisfaction.
Claim initiation can be done through multiple channels including customer portals, mobile apps, WhatsApp, branch walk-ins, and third-party portals. The AI agent in Newgen’s solution assesses damages, estimates repair costs, and classifies claims into straight-through processing (STP) or non-STP for faster settlement.
With advanced AI modeling, anomaly detection, and fraud detection algorithms, Newgen’s AI-first Claims Automation Solution for Motor Insurance identifies suspicious claims in real time, doubling fraud detection rates and ensuring fair payouts.
The solution integrates seamlessly with government and police databases, banks, payment systems, regional transport authorities, and support systems like towing and salvage companies to ensure real-time data synchronization and quick decision-making.
Policyholders benefit from real-time updates, proactive communication across channels, guided incident reporting, and predictive analytics for faster processing. These capabilities enhance trust and improve customer retention by up to 30%.
AI-powered image analysis identifies vehicle damage, estimates repair costs, and ensures accurate settlement. Telematics-driven data further aids in precise reporting, reducing errors and ensuring transparency in claim payouts.
Newgen’s solution provides multi-layered security, encrypted storage, and audit-friendly workflows to safeguard sensitive customer data while simplifying regulatory compliance and audits.
Yes. With a microservices architecture, automated workflows, and AI-powered operations, Newgen’s solution can increase straight-through processing by 40%, improve first-time resolution rates by 20%, and handle higher claim volumes seamlessly.
Insurers can gain benefits such as scalable operations, superior customer experience, multi-channel communication, real-time fraud detection, improved compliance, and enhanced service quality across the entire claims lifecycle.
