The client is a global information services and technology company that offers real-time, data-driven insights for marketing, risk management, and security operations. They cater to major telecom providers.
Their Order Management Solutions (OMS) ensure customers are accurately provisioned, enabling them to access services and receive billing on the network.
Success Story
About the Client
Business Needs | Need for an Open-Source Workflow Orchestration Solution
The client required a transition to an open-source technology stack that offered greater flexibility and ensured interoperability. The following were key business needs:
- Reduce high licensing and maintenance costs associated with proprietary legacy Oracle-based workflow orchestration platform by adopting a cost-efficient open-source technology stack.
- Enable greater flexibility and customization through a loosely coupled architecture that supported evolving integration and business requirements.
- Gain access to a broader developer community and talent pool to reduce dependency on niche skills and improve long-term maintainability.
- Minimize vendor lock-in risks by moving away from proprietary solutions toward open, portable, and standards-based platforms, giving the team more control.
- Ensure interoperability and standards compliance to support seamless data exchange across heterogeneous systems and applications.
Solutions | Leveraging Open Source and Generative AI for Scalable Business Operations
- We replaced proprietary Oracle SOA components used for workflow orchestration with an open-source integration stack based on Apache Camel and Spring Boot
- We used GenAI to reverse-engineer legacy orchestration logic and generate functional documentation, which accelerated redesign and migration
- Our team containerized integration workloads on Kubernetes to enable scalable, resilient, and portable deployments across environments
- We implemented GenAI-enabled singleton services using modern messaging and MongoDB for scalable parallel processing
- A POC was led for upgrade validation for each module to confirm design decisions and minimize migration risks
- We leveraged GenAI-assisted test automation to generate test cases for upgraded components while enhancing overall test coverage quality
Business Impact | Streamlined Services with AI
- Approximately 90% reduction in service count achieved through code refactoring during tech upgradation
- Over 550 existing services were migrated and 45 new components were delivered
- Around 70% code coverage was attained for GenAI generated unit test cases
Technology Stack
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