Bupa modernizes legacy app using AI, reducing development time by 60%

The emergence of artificial intelligence is altering the economics of software modernization by reducing the time, risk, and effort associated with updating legacy systems. [1] By utilizing AI-assisted reverse and forward engineering, health insurance provider Bupa migrated its My Bupa mobile application from Xamarin to native Swift and Kotlin. [1] This AI-powered approach allowed Bupa to complete the transformation in approximately 60 percent less time than it would have taken prior to the availability of these AI tools. [1]

Following the modernization, the user rating for the My Bupa application increased from 3.7 to 4.7. [1] The perceived crash rate for the app also dropped by nearly 24 percentage points for Android users and eight percentage points for iOS users. [1] Beyond technical metrics, this modernization helps preserve institutional knowledge and provides teams with the capacity to adapt and identify problems early. [1]

Bupa's migration from Xamarin to native Swift and Kotlin demonstrates how AI can shift the cost-benefit analysis of updating critical enterprise systems. By cutting the anticipated project timeline by 60%, generative AI tools are turning previously cost-prohibitive legacy migrations into viable business transformations. Modernized platforms like Bupa's newly native app provide the foundational flexibility necessary to deploy predictive features in the future. What the sources don't address: which specific AI coding assistants or reverse-engineering models Bupa and Infosys deployed to achieve these time savings.