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@awscloud To modenize a legacy via AI, one must first get it to latest version. Changing mindset of legacy users and training them for AI will be quite a task but need of the hour. It isn't path of roses for sure
5/6 The institutions that move now won't just cut costs. They'll free their teams to build what's next: faster product launches, real-time processing, & AI-ready infrastructure that scales.
4/6 One bank saw a 96% reduction in reverse engineering time & 75% faster overall modernization on pilot workloads. That's not incremental improvement; that's a new way of working.
The mainframe era isn't ending. It's being transformed.
3/6 Leading banks are now using AI to do in days what once took years:
+ Automatically analyze & extract the business logic buried in legacy code
+ Convert that logic into modern, cloud-native systems without losing what makes it work
+ Continuously evolve core platforms instead of replacing them in one high-stakes project
2/6 For decades, the barriers were real: millions of lines of aging code, scarce talent, & risk too high to justify the move. The intent was always there. The tools weren't. That's changed.