| Featured The Legacy Modernization Dilemma: Why Traditional Approaches Are Failing 
 This article is the first in a series of four articles covering past, present, and future of AI and AI Agents in legacy modernization.   Let’s be honest: most legacy modernization projects don’t fail because the tech isn’t good enough. They fail because no one really understands what they’re modernizing. Years of human decisions, business rules, and quick fixes are buried inside old systems, and when teams try to replace them without context, things fall apart fast. 
 The real work isn’t in rewriting code, it’s in uncovering what that code actually does and why it exists in the first place. Once you have that map, tools like AI and automation can finally make a difference. Skip that step, and you’re basically rebuilding blind. 
 Do it right, and modernization turns into a strategic advantage that sets you up for faster, smarter decisions in the long run. 
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