AI‑Powered Legacy Modernization: Bupa’s Blueprint for Transforming Aging Apps

At a time when enterprises face mounting pressure to replace aging systems, Bupa’s revamp of its My Bupa app demonstrates how legacy modernization powered by AI can shift from a risky rewrite to a strategic transformation.

AI‑driven legacy modernization delivers measurable gains

As CIO Asifa Sherazi explains, waiting for end‑of‑life tech is a silent threat that can erupt ↓ 24% in crash rates. By migrating from Xamarin to native Swift and Kotlin, the app’s rating jumped from 3.7 to 4.7, a ↑ 1.0 lift that boosted user confidence.

“When customers need us at stressful moments, the app simply works,”

Sherazi says.

Legacy Modernization: Business Benefits

Infosys senior VP Sanjeev Tripathi adds that AI‑assisted reverse engineering cut delivery time by roughly 60%, turning a multi‑year effort into a seven‑month sprint. The process preserved business rules while generating native‑ready user stories, freeing teams from manual documentation and slashing ~400 hours of BA work. The migration also eliminated the talent bottleneck associated with Xamarin, expanding the talent pool for future updates. Both executives stress that the true payoff lies in the platform’s new capacity for real‑time personalization, predictive analytics and responsible AI integration—capabilities that were impractical on the legacy stack. As the My Bupa ecosystem now supports rapid feature releases, Bupa can experiment with AI‑driven accessibility testing and agentic AI workflows without compromising security, a concern highlighted by recent Reuters reports on health‑tech data privacy. The case underscores a broader industry trend: legacy modernization, when paired with intelligent automation, becomes a foundation for next‑generation digital experiences rather than a mere cost‑center.

Dispatch from: Dr. Aris Thorne

Artificial Intelligence Researcher