Most AI initiatives fail not because of the models, but because the institutional foundation is missing: fragmented data, brittle integration, and governance bolted on too late. In this opening article I explain the logic behind the AI-Ready Transformation Framework, and why maturity starts with data ownership, not model selection.
Real value arrives when AI becomes part of the operating model — reusable interfaces, continuous observability, and teams empowered to ship safely. That is what this article series will explore.
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