Making the AI-powered case for legacy modernization
TL;DR
For years, legacy technology has been a problem companies knew they needed to solve but often struggled to tackle. The cost, complexity, and risk of replacing business-critical systems could make modernization feel like a disruption to manage instead of an opportunity to pursue. With rising customer expectations and the pressure created by AI, that calculation is shifting, and the business case for modernization now looks different than it did a few years ago.
Nauti's Take
The thesis holds where it matters, because AI tools attack the most expensive part of modernization and show real potential there: reading code, documenting it and mapping dependencies used to take months. The catch is the origin of pieces like this, which usually come from vendors selling exactly that migration, with no numbers on failed projects.
CIOs sitting on an old codebase should run a small pilot on a non-critical system, since a big-bang rewrite stays as risky as ever.
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