Key Highlights

  • In this success story, OptiSol partnered with a leading insurance provider to modernize their legacy policy management system that was built on COBOL and running on mainframe infrastructure.
  • The organization struggled with outdated technology, high maintenance costs, integration barriers, and slow-release cycles, all of which affected service agility and operational performance.
  • OptiSol designed and executed a structured COBOL to Java migration strategy, transforming the core system into a modern, cloud-ready Java-based application built on microservices architecture.
  • Our solution enabled seamless integration, reduced reliance on legacy expertise, improved system maintainability, and accelerated time-to-market for new policy offerings deriving operational efficiency and supporting long-term digital transformation.

Problem Statement

01

Legacy System: The client’s policy management platform was built on a COBOL-based mainframe system that lacked flexibility and hindered scalability. This outdated setup restricted innovation and made it difficult to respond to evolving insurance industry trends and regulations.

02

Skill Shortage: COBOL expertise was becoming increasingly rare, making system maintenance a challenge. The reliance on a shrinking talent pool led to higher operational costs and slower issue resolution.

03

Limited Integration: The legacy architecture did not support seamless integration with modern digital platforms. This created bottlenecks in launching customer-facing services and limited connectivity with third-party systems.

04

Delayed Rollouts: Deploying new policies or making system enhancements involved long development cycles. This slowed down go-to-market speed and reduced the client's competitive edge.

Solution Overview

01

System Audit & Strategy: OptiSol performed a thorough audit of the COBOL system, mapping business workflows, identifying reusable components, and designing a risk-mitigated migration roadmap aligned with operational goals.

02

Phased Migration Approach: The modernization followed an incremental strategy, where COBOL modules were transformed into Java components in manageable sprints, ensuring zero business disruption and smooth transition of knowledge.

03

Java-Based Architecture: The modernized system was rebuilt on a microservices-based Java architecture, enabling scalability, easier maintenance, and flexible deployment across environments.

04

API-Driven Integration: OptiSol introduced RESTful APIs to facilitate secure, real-time communication between the core system and third-party tools, including CRM platforms, claims systems, and payment gateways.

05

Data Migration Tools: Custom scripts and automated tools were used to accurately migrate and validate legacy policy data, ensuring consistency and compliance.

Business Impact

01

Operational Efficiency: OptiSol’s COBOL to Java modernization reduced system maintenance efforts, enabling quicker resolution of service requests with a modular, easy-to-manage codebase.
0
%
reduction in maintenance time and faster issue turnaround.

02

Faster Rollouts: The phased migration and microservices architecture accelerated deployment cycles, allowing the client to launch new policy products and enhancements more rapidly.
0
%
faster release cycles for policy updates

03

Cost Optimization: Eliminating mainframe dependencies and adopting scalable cloud infrastructure lowered infrastructure and support costs significantly.
0
%
reduction in overall operational and support expenses.

About The Project

In this success story, OptiSol partnered with a leading insurance provider to modernize its legacy policy management system built on COBOL. The client faced rising maintenance costs, integration hurdles, and a slow pace of innovation due to its aging mainframe setup. OptiSol implemented a phased COBOL to Java migration strategy, re-engineering the application into a modular, Java-based solution with microservices architecture and API integrations. This approach ensured business continuity during the transition while unlocking faster policy rollouts, seamless third-party integrations, and a scalable, cloud-ready platform for future digital growth.

FAQs:

How does modernization impact operational efficiency?

Modern systems reduce manual maintenance, automate workflows, and improve response times, leading to better operational efficiency and reduced downtime

What is the importance of maintaining business continuity during migration?

Maintaining business continuity ensures that the organization’s core functions remain uninterrupted, minimizing risk and customer impact throughout the migration process.

What role does cloud infrastructure play in modern applications?

Cloud infrastructure provides scalable resources, high availability, reduced upfront costs, and faster deployment capabilities for modern software systems.

How important is testing during the migration process?

Testing is critical to ensure data accuracy, system functionality, performance, and security are maintained throughout and after migration.

How long does a typical legacy system migration take?

The duration varies based on system complexity, data volume, and migration approach. Phased or incremental migrations can take several months to over a year.

Testimonials of Our Happy Clients

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