The client’s existing technology stack, built on Apache Wicket, HTML4 and Java Servlets, had served its purpose but was not designed to support today’s multi-form-factor, highly personalized digital experiences. To meet evolving user expectations, the organization sought a more flexible and scalable architecture capable of enabling differentiated features and seamless channel expansion.

The monolithic system architecture limited agility, making it challenging to introduce new channel applications quickly. Content on transactional sites was largely hard-coded, restricting business teams from updating content dynamically. Additionally, limited internationalization and localization capabilities constrained rapid expansion across diverse markets.

Innovation through A/B testing and rapid user experience enhancements required a more modern foundation. Feature rollouts across geographies were complex and time-intensive, and traffic spikes occasionally impacted performance. Modernizing the platform became a strategic priority to enhance scalability, accelerate innovation and strengthen competitive positioning in a rapidly evolving digital landscape.

Our team developed a well-defined strategy to help the client realize its digital transformation objectives, with focus on the following priorities:

As part of the transformation journey, HCLTech adopted a cloud-first, API-driven modernization strategy to build a scalable and future-ready platform. We designed and implemented a modern API layer over the client’s core systems, enabling faster development of multiple applications and seamless ecosystem integration.

Today, the platform operates across 160+ countries, supporting multiple languages, currencies and payment methods to serve diverse global customer needs.

The user interface was reimagined through a next-generation money transfer platform, enabling faster feature releases and continuous enhancements to elevate the end-customer experience.

We also implemented comprehensive cloud operations with 24x7 monitoring through an “eyes-on-glass” model, maintaining a high availability target of 99.9%.

A detailed platform performance assessment—analyzing CPU, memory and thread utilization across peak and non-peak periods—helped identify optimization opportunities. Targeted capacity enhancements and code optimizations were recommended and implemented to strengthen resilience, scalability and overall system efficiency.

By executing a comprehensive transformation at scale — without disrupting ongoing operations — we enabled the client to unlock significant business outcomes: