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Legacy ModernizationInsurance

Legacy Modernization for a Global Insurance Leader

5 min read

Client Background

A leading global insurance provider with operations in 30+ countries faced mounting pressure to modernize its aging claims infrastructure. The company had served millions of policyholders for decades but was struggling to keep pace with digital-first competitors.

Business Challenge

The claims system ran on decades-old mainframe technology. Manual handoffs, paper-based workflows, and fragmented data across systems led to delayed claims resolution and dissatisfied customers.

  • Slow Claims Resolution

    Average claims processing time exceeded 30 days, with complex cases taking months.

  • Technical Debt

    Mainframe maintenance was costly, and finding skilled talent was increasingly difficult.

  • Poor Customer Experience

    Customers had no visibility into claim status and had to rely on phone calls for updates.

Solution Implemented

Lantiqx designed and delivered a cloud-native claims platform using modern microservices architecture. The solution integrated with existing policy systems while providing a unified, real-time view of claims status.

Cloud-Native Architecture

Migrated core claims logic to a scalable, event-driven platform on AWS.

Self-Service Portal

Enabled customers to submit claims, track status, and upload documents digitally.

Intelligent Routing

AI-powered triage directed claims to the right specialist based on complexity and risk.

API-First Design

Exposed integrations for third-party adjusters and partners.

Technology Stack

  • AWS (Cloud Infrastructure)
  • React & Node.js
  • Event-Driven Architecture
  • AI/ML for Claims Triage

Business Results

50% Faster
Average claims processing time reduced from 30 days to 15 days.
35% Cost Reduction
Lower infrastructure and maintenance costs compared to mainframe.
40% Higher Satisfaction
Customer satisfaction scores improved with self-service and transparency.
99.9% Uptime
Cloud platform delivered reliability and scalability for peak loads.