AI Accelerates Legacy Modernization for Bupa

Bupa has successfully modernized its My Bupa mobile application, transitioning from Xamarin to native Swift and Kotlin, a process significantly accelerated by the integration of artificial intelligence. This strategic move, framed as a business transformation rather than a mere technology rewrite, has yielded substantial improvements in application performance and user satisfaction. The modernization initiative addressed the long-standing challenge companies face with legacy technology, which often presents a complex and risky undertaking due to its cost and potential for disruption. Asifa Sherazi, Bupa's CIO of health insurance, emphasized the compounding risk of relying on end-of-life technology, stating that it "arrives all at once" when it finally fails.

The impact of Bupa's modernization is evident in key performance metrics. Following the migration, the My Bupa app's rating surged from 3.7 to 4.7. Furthermore, the user-perceived crash rate saw a notable decrease, falling by nearly 24 percentage points on Android devices and by eight percentage points on iOS. Sherazi highlighted that these improvements translate to a more reliable user experience, particularly during stressful moments when users most need the application to function seamlessly. This focus on user experience underscores the business-critical nature of modernizing essential digital platforms.

Sanjeev Tripathi, Senior Vice President and Region Head for BFSI, healthcare, and public sector at Infosys, posits that artificial intelligence is fundamentally altering the economic landscape of modernization projects. He argues that AI is reducing the traditional effort, inherent risks, and extended timelines associated with these complex programs. For Bupa's modernization, the application of AI-assisted reverse engineering, coupled with forward engineering techniques, enabled the transformation to be completed in approximately 60% less time than would have been feasible without AI. This efficiency gain represents a significant shift in the feasibility and attractiveness of undertaking legacy system upgrades.

Beyond the technological and performance gains, Sherazi and Tripathi also underscored the crucial human element in modernization efforts. The process of updating legacy systems can be leveraged to preserve invaluable institutional knowledge, empower development teams with greater capacity to adapt to new technologies, and foster an environment where employees feel comfortable identifying and escalating potential problems early. This holistic approach, integrating AI-driven efficiency with a focus on human capital, positions modernized platforms as enablers of ongoing business agility and innovation, allowing organizations to better meet evolving customer expectations and navigate the dynamic digital environment.