Advanced Analytics for P&C Insurance Companies

Disover digital-driven solutions for sustainable success

Who we are

Overview

NLB InsurTech is helping global insurance companies accelerate their journey toward pricing modernization and data excellence. NLB InsurTech stands as the vanguard in enabling global enterprises to unlock the full potential of their data and analytics investments.

We are dedicated to seamlessly integrating cutting-edge analytical models into the fabric of organizations, empowering them to extract invaluable insights at an unprecedented pace. Our arsenal of Artificial Intelligence, Machine Learning, and Advanced Analytics talent & solutions empowers businesses to delve deeper, make decisions faster, and take immediate, decisive actions.

Use Cases

01

Policy Admin System(PAS) Modernization

Configure Duck Creek or similar technologies for policy administration, rating, billing, and managing the entire claims lifecycle
Customize workflows, business rules, and user interfaces.
Established seamless integration with CRM, Document Management System, and third-party data providers.

02

Claims Automation & Analytics

Automate workflow using Java to handle claims notifications, document submissions, and initial assessments
React JS to develop a responsive and user-friendly interface for online claims portal
Implement document upload, status tracking, and notifications to enhance user engagement

03

Policy Admin System(PAS) Modernization

Configure Duck Creek or similar technologies for policy administration, rating, billing, and managing the entire claims lifecycle
Customize workflows, business rules, and user interfaces.
Established seamless integration with CRM, Document Management System, and third-party data providers.

04

Trustable AI for Underwriting

Integration of Knowledge Graph and AI to enhance underwriting processes, ensuring accurate, consistent, and trustable decision-making.
Implement automated decision support tool for underwriters to gain confidence in pricing when quoting new types of risks.
Data integration with Policy Decisions Rating System & external sources such as D&B and OSHA

Data Science and Analytics Technology Landscape

Unified Digital Enterprise

NLBInsurtech is at the forefront of delivering trustable AI solutions to the insurance industry, ensuring that data is not only interconnected and enriched but also utilized in a manner that is reliable and accountable. Our integration of new-age technologies into companys’ current tech-stack ensures enhanced data discoverability, coherence, and actionable insights, driving informed and trustable decision-making across all facets of insurance operations. We transform your data into a strategic asset, ensuring operational efficiency, innovation, and a competitive edge, all while upholding the highest standards of data integrity and trust.

Customer 360 View

Comprehensive customer profiles for personalized services and policy recommendations.

Product Development

Analuze trends for tailored insurance products and faster launch

Fraud Detection

Identify patterns to detect and prevent fraudulent claims efficiently

Risk Assessment & Underwriting

Analyze data for precise risk Profiling and accurate policy pricing

Unified Enterprise Knowledge Graph

Regulatory Compliance & Reporting

Simplify compliance checks and regulatory reporting processes

Agent & Broker Performance Analysis

Evaluate agent sales and feedback for performance insights

Claims Management

Streamline claims with connected data for faster resolution

Market Trends Analysis

Monitor market shifts for proactive business strategy adjustment

Our Differentiators

Clients choose NLBInsurtech for our exceptional proficiency in conducting thorough assessments of our clients’ technology ecosystems, followed by collaborative partnerships to seamlessly integrate software products and talent solutions that accelerate their products time-to-market. Our bespoke, scalable solutions are not only tailored to meet the unique challenges and data requirements of the insurance sector but also committed to ensuring data integrity, integration, security, and regulatory compliance, thereby enhancing operational efficiency and fostering innovation.