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About The Client
The client is a global leader in fintech and payments, serving millions of customers across banking, commerce, and financial services. With a strong focus on innovation, security, and compliance, the organization delivers mission-critical solutions that power digital transactions and financial ecosystems worldwide.
Market Trends
The financial services sector is experiencing a profound shift, fueled by rising consumer expectations and rapid technological advancements. Legacy systems, still prevalent across many institutions, are proving to be major roadblocks—limiting innovation, slowing responsiveness to market demands, and complicating compliance with evolving regulations. Moreover, legacy technologies pose serious risks due to lack of support and growing security vulnerabilities.
Despite ongoing modernization efforts, a significant portion of IT budgets remains tied up in maintaining these outdated infrastructures, resulting in inefficiencies, elevated costs, and integration hurdles.
To overcome these challenges, financial institutions are increasingly adopting generative AI as a catalyst for transformation. GenAI enables streamlined operations, enhanced customer engagement, and accelerated modernization. Thus, AI and GenAI are pivotal in helping financial institutions modernize legacy systems, meet compliance demands, and drive digital transformation.
Business Challenges
The client’s front-end application was built using the Yahoo User Interface (YUI) Library—a framework that has long been deprecated and is no longer supported. A recent security scan revealed numerous critical and high-risk vulnerabilities, prompting an urgent need to migrate to a more secure and modern framework. With a compliance deadline set for Q1 2025, the organization faced several technical and operational hurdles that threatened to delay the transformation.
- Security vulnerabilities in YUI components required immediate remediation to meet regulatory deadlines.
- Lack of support and documentation for YUI made maintenance and troubleshooting increasingly difficult.
- No direct jQuery equivalents for complex UI controls like grids and multiselect dropdowns demanded custom design and development.
- High dependency on manual effort for migration posed risks to delivery timelines and resource allocation.
- Limited flexibility and scalability of the legacy framework hindered the client’s ability to innovate and adapt to evolving business needs.
LTIMindtree’s Solution
To address the complexity and urgency of the migration, the client partnered with LTIMindtree to implement an AI-powered modernization strategy. Rather than relying on manual rewrites, the team adopted a structured, iterative approach using GitHub Copilot and the client’s internal AI tool. This combination enabled rapid, intelligent transformation of legacy YUI components into modern jQuery equivalents—without compromising quality or compliance timelines.
The solution was executed through a series of well-defined steps:
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Context Setting
Developers began by clearly defining the source (YUI) and target (jQuery) frameworks, along with a prioritized list of components to be migrated.
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Code Sampling
Existing YUI code snippets were used to guide Copilot’s AI-driven code generation, ensuring relevance and alignment with the original functionality.
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Inline Refactoring
Copilot’s suggestions were refined and customized using embedded editors, allowing developers to tailor the output to specific business and UI requirements.
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Testing and Validation
Each migrated component underwent rigorous testing to ensure functional accuracy, performance, and visual consistency across browsers and devices.
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Documentation and Enablement
The team tool also supported the generation of technical documentation and training materials, reducing onboarding time and ensuring long-term maintainability.
This AI-powered modernization strategy accelerated the migration and also ensured that the client’s front-end architecture was consistent, scalable, and future-ready.
Business Benefits
The AI-powered migration approach delivered measurable improvements across development efficiency, consistency, and overall productivity:
Accelerated development cycles
30–40% reduction in development effort
Improved consistency and maintainability
Conclusion
This case study showcases how AI can accelerate legacy modernization. By leveraging GitHub Copilot and the client’s AI tool, the client met critical compliance deadlines and also laid the foundation for scalable, secure, and maintainable front-end architecture. With LTIMindtree as a strategic partner, the organization turned a high-risk migration into a model of efficiency and innovation. This case highlights how AI and GenAI serve as powerful catalysts for digital transformation in the banking and financial services industry.
Ready to modernize your legacy front-end? Discover how AI can simplify the journey.
Contact us at BFS.AI@LTIMindtree.com to start your transformation journey.
