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AI-Powered Multi-Domain Insurance Platform Development
  1. case
  2. AI-Powered Multi-Domain Insurance Platform Development

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AI-Powered Multi-Domain Insurance Platform Development

leobit.com
Insurance
Automotive
Information technology

Challenges in Building a Scalable Insurance Platform

The client required a comprehensive platform to deliver car warranty services with AI-driven risk analysis, while planning for future expansion into other insurance domains. They needed a reliable technical partner to conduct market positioning, develop an MVP with integrated sales/claims workflows, and ensure cloud scalability.

About the Client

A Germany-based startup leveraging AI-powered risk analysis to deliver competitive insurance pricing, starting with car warranties and planning expansion into broader insurance domains.

Key Project Goals

  • Develop a minimum viable product (MVP) for car warranty insurance with AI/ML integration
  • Create a scalable cloud-based architecture for future domain expansion
  • Implement automated sales funnel and claims management workflows
  • Design a user-friendly interface aligned with brand identity
  • Integrate payment systems and third-party data sources

Core System Functionalities

  • 5-step automated sales funnel with vehicle data lookup (HSN/TSN)
  • AI/ML-driven risk assessment and dynamic pricing engine
  • Claims management system with dynamic template support
  • Stripe payment integration with multi-currency support
  • Responsive website with integrated insurance tools

Technology Stack Requirements

React.js
Webflow
Wix
Azure Cloud

System Integration Needs

  • Stripe payment gateway
  • Vehicle registration databases (HSN/TSN lookup)
  • Underwriting risk carrier systems

Non-Functional Requirements

  • Cloud-native scalability and elasticity
  • Enterprise-grade security and data protection
  • High-performance AI/ML processing capabilities
  • Cross-browser/device compatibility
  • Maintainable and extensible architecture

Expected Business Outcomes

Delivery of a market-ready MVP within 6 months, enabling expansion into new insurance domains. Streamlined sales and claims processes through automation, 30% reduction in manual underwriting effort via AI/ML models, and establishment of a scalable cloud foundation supporting 500% growth in transaction volume over three years.

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