Accessible data and connected workflows determine the success of AI initiatives more than the algorithms themselves. Scientific Computing World argues that organizational alignment and clear governance are the actual bottlenecks in research. Practitioners must prioritize these foundational data structures before deploying complex models. Without this groundwork, high-end AI tools fail to deliver measurable value.