Proactively identify policyholders likely to lapse using AI models trained on policy, payment, and health data, empowering insurers to trigger timely retention campaigns and boost renewal rates.
Pinpoint existing customers with a high likelihood to buy additional products using transaction, demographic, and engagement data, enabling agents to deliver targeted, need-based offerings that drive upsell revenue.
Equip advisors with reasoning-powered AI that provides product suggestions and rationale, helping build trust and enabling more personalized, insight-led customer conversations that deepen long-term relationships.
Provide transparency in every recommendation with SHAP-based explainability so agents and marketers understand why a product is being suggested, improving confidence in AI-led engagements.
Empower non-technical users with visual pipelines to build, train, and deploy models like churn and CLV, accelerating time-to-value and democratizing access to predictive analytics across business functions.
Identify policyholders at risk of lapsing by analyzing policy details, payment history, and health data. This AI model helps insurers proactively engage at-risk customers, increasing renewals and reducing churn.
Uncover customers most likely to buy additional insurance products by analyzing demographics, transactions, and engagement behavior. This model boosts advisor productivity and revenue by enabling timely, relevant product offers.
Empower insurers to build and deploy predictive models, like churn, cross-sell, and customer lifetime value, using intuitive visual pipelines. The platform supports end-to-end model development, training, and evaluation, with built-in feature importance and SHAP explainability to drive transparent, data-backed decisions.
Host pre-trained and customizable models for churn prediction and cross-sell recommendations. Enable quick implementation and scalability, ensuring faster time-to-value for sales, marketing, and distribution teams.
Act as a conversational AI assistant for agents, advisors, and marketing teams. It surfaces personalized product recommendations with contextual explanations, helping strengthen customer engagement and drive growth through meaningful, insight-led conversations.
Apply business logic and eligibility criteria to AI model outputs, ensuring recommendations are compliant, relevant, and consistent across customer interactions and engagement channels.
Discover how Newgen’s Policy Retention Engine empowers agents and advisors with AI-driven insights, personalized recommendations, and contextual conversations.
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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: