Most organizations approach AI implementation tactically, building one-off solutions for specific problems. This may work for proof-of-concept projects, but it creates unsustainable technical debt as AI adoption grows. Teams inevitably end up duplicating data, writing redundant code, and struggling to maintain consistency across…