Objective Statement

This study proposes a scalable, modular, and cloud-native microservice architecture tailored for the insurance industry. The goal is to enable rapid enterprise-wide analytics adoption, seamless AI integration, and real-time data processing through containerization, orchestration, and service-based deployment models that enhance scalability, agility, and system resilience.

Problem Context

Although insurers are among the earliest adopters of artificial intelligence, fewer than 10% have successfully scaled AI initiatives beyond pilot programs.