Legacy systems make AI adoption harder because they were never built with modern model workflows in mind. Old data structures, rigid interfaces, and fragile dependencies can turn even a simple AI feature into a major integration project. The pain usually comes from mismatch. The AI component may be flexible, but the surrounding system is not. That creates friction at every handoff. Successful integration often requires patient engineering rather than flashy model work. The most effective teams focus on compatibility, not just intelligence.Legacy integration painful
