Automatically flags high-risk applicants requiring medical tests by analyzing demographics, hobbies, and medical history, streamlining underwriting and fast-tracking low-risk applicants for quicker approvals.
Predicts five-year mortality likelihood using test results and health history, aiding underwriters with transparent, data-driven risk scores for consistent and accurate decision-making.
Empowers underwriters with interactive insights and SHAP-based explanations behind risk scores, enhancing trust, transparency, and confidence in AI-supported decision outcomes.
Applies business rules to model outcomes for real-time eligibility checks, routing, or rejections—minimizing manual intervention and ensuring compliance with underwriting guidelines.
Supports complex underwriting cases with AI-assisted reasoning, enabling underwriters to override or validate AI outcomes using detailed rationale and case-specific recommendations.
Identify life insurance applicants likely to require additional medical testing by analyzing demographic data, lifestyle behaviors, and medical history. This AI model flags high-risk cases early and routes them for further evaluation while fast-tracking low-risk applicants, accelerating decision-making and improving operational efficiency.
Predict applicants’ five-year mortality likelihood using a combination of demographic, behavioral, clinical, and medical test data. This model supports initial routing decisions and provides underwriters with AI-powered explanations and contextual insights, enabling transparent, human-in-the-loop underwriting for complex cases.
Enables the development, training, and evaluation of both the Mortality Risk Pre-screening and Prediction Models. Built-in SHAP explainability ensures transparent, interpretable outcomes—empowering underwriters with risk insights they can trust.
Applies predefined business rules to model outcomes, automating eligibility checks, case routing, and approvals. Delivers consistent and compliant decision-making across life insurance underwriting workflows.
Acts as a conversational AI assistant for underwriters, providing case-level insights, risk justifications, and contextual explanations to support complex, human-in-the-loop decisions—bridging AI intelligence with expert judgment.
Discover how Newgen’s Early Claim Probability Agent empowers life insurers with decision-making by providing context and insights for human-in-the-loop decisions.
Request a DemoEnter your information, and a Newgen representative will be in touch shortly.
Newgen’s Al Agents help automate underwriting, claims, and policy servicing, which deliver agility, compliance, and personalized engagement across life, health, general, and motor insurance.
The Agents, built on NewgenONE, our Al-first low-code platform, together with agentic customer journeys and built-in Al models, streamline operations and elevate efficiency across insurance functions.
The NewgenONE Al Agents are powered by the following components:
The Al Agents for Underwriting enable the following Agentic Journeys:
The Al Agents for Claims Management enable the following capabilities:
The Al Agents for Policy Servicing enable the following enhancements:
Newgen’s Al Agents have demonstrated the following measurable impact on key performance indicators (KPIs):
Proven Success for Global Insurers includes: