Reasoning Model     |     Churn Prediction Model     |     Reasoning Agent     |     Data Science Platform     |     Business Rule Engine     |     Cross-sell Recommendation Model     |     API Integration     |     Reasoning Model     |     Churn Prediction Model     |     Reasoning Agent     |     Data Science Platform     |     Business Rule Engine     |     Cross-sell Recommendation Model     |     API Integration     |     Reasoning Model     |     Churn Prediction Model     |     Reasoning Agent     |     Data Science Platform     |     Business Rule Engine     |     Cross-sell Recommendation Model     |     API Integration     |     Reasoning Model     |     Churn Prediction Model     |     Reasoning Agent     |     Data Science Platform     |     Business Rule Engine     |     Cross-sell Recommendation Model     |     API Integration     |     Reasoning Model     |     Churn Prediction Model     |     Reasoning Agent     |     Data Science Platform     |     Business Rule Engine     |     Cross-sell Recommendation Model     |     API Integration     |     Reasoning Model     |     Churn Prediction Model     |     Reasoning Agent     |     Data Science Platform     |     Business Rule Engine     |     Cross-sell Recommendation Model     |     API Integration     |    

Key Features of NewgenONE Policy Retention Engine for Insurance

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Churn Risk Prediction & Retention Enablement

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.

Cross-sell Opportunity Identification

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.

Conversational Intelligence for Advisors & Agents

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.

Explainable AI with Feature Importance

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.

Visual Data Science for Business Users

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.

optimized-process

Churn Risk Prediction & Retention Enablement

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.

Cross-sell Opportunity Identification

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.

Conversational Intelligence for Advisors & Agents

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.

Explainable AI with Feature Importance

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.

Visual Data Science for Business Users

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.

Built-in Models of NewgenONE Policy Retention Engine

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Churn Prediction Model

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.

Cross-sell Recommendation Model

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.

optimized-process

Churn Prediction Model

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.

Cross-sell Recommendation Model

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.

Core Components of NewgenONE Policy Retention Engine

NewgenONE Data Science Platform

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.

AI Model Repository

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.

Reasoning Agent

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.

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NewgenONE Rule Engine

Apply business logic and eligibility criteria to AI model outputs, ensuring recommendations are compliant, relevant, and consistent across customer interactions and engagement channels.

NewgenONE Data Science Platform

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.

AI Model Repository

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.

Reasoning Agent

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.

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NewgenONE Rule Engine

Apply business logic and eligibility criteria to AI model outputs, ensuring recommendations are compliant, relevant, and consistent across customer interactions and engagement channels.

Agentic Customer Journey with Responsible AI

NewgenONE AI Agents leverage customer-approved data to deliver explainable and evidence-based models with full auditability. These agents are safeguarded by business rules and continuous monitoring to ensure reliable performance

Find Your Winning Strategy with Newgen

Discover how Newgen’s Policy Retention Engine empowers agents and advisors with AI-driven insights, personalized recommendations, and contextual conversations.

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Frequently Asked Questions

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:

  • Agentic workflows for end-to-end automation
  • Cloud-native architecture with enterprise-grade security, deployable on private, public, or hybrid cloud
  • GenAl for actionable insights across underwriting, claims, and distribution
  • Conversational & Explainable Al for confident decision-making
  • Seamless integration with your core insurance & partner systems

The Al Agents for Underwriting enable the following Agentic Journeys:

  • Predictive Claim Probability
  • Advanced Mortality Risk Scoring
  • Conversational Al with Explainability
  • Human-in-the-loop Decisioning
  • Dynamic Risk Modeling

The Al Agents for Claims Management enable the following capabilities:

  • Smart FNOL Triage & Auto-adjudication
  • Crash & Damage Assessment Models
  • Surveyor Requirements Prediction
  • Real-time Fraud Detection
  • Predictive Claims Reserving

The Al Agents for Policy Servicing enable the following enhancements:

  • Churn Prediction & Retention Enablement
  • Cross-selling Opportunity Identification
  • Conversational Advisor Assistants
  • Visual Al for CLV and Engagement Models

Newgen’s Al Agents have demonstrated the following measurable impact on key performance indicators (KPIs):

  • Underwriting Turnaround Time: ↓ 60%
  • Agent Onboarding Time: ↓ 40%
  • Policy Issuance Time: ↓ 70%
  • CSAT Score: ↑ 60%
  • Cost per Policy Issuance: ↓ 20%
  • SLA Compliance: ↑ 25%
  • STP Rate: ↑ 25%
  • Policy Renewal Rate: ↑ 15%

Proven Success for Global Insurers includes:

  • Archived over 15 billion documents for a top-tier insurer
  • Reduced cost by 25-30% and paper usage by 75% for a Fortune 500 insurance firm
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