Human-centric AI has become a central principle in AI regulation, embodied in Article 14 of the EU AI Act, which requires that meaningful human oversight be designed into high-risk AI systems from the outset of their development. This paper examines Article 14 from a methodological perspective and proposes three core steps for analyzing its legal requirements: (1) identifying and categorizing obligations across text-based, soft, embedded, and datadriven law; (2) mapping the relational aspects of responsibility across the AI supply chain; and (3) examining how these obligations are implemented across the system lifecycle. By systematically addressing the layered nature of legal requirements, relational responsibilities, and the timing of rule implementation across the lifecycle of AI, the paper offers a basic framework for understanding how human oversight can be meaningfully and effectively embedded within the design, development, and operation of AI systems.