AI promises to transform healthcare, yet most deployments stall once they move beyond controlled pilot programs. The real problem is not the technology. It is the fragile operational foundations beneath it. When fragmented data, legacy systems, and weak governance collide with advanced AI tools, the result is not innovation but operational chaos. Scaling AI in healthcare requires rebuilding the system architecture first, not simply layering new technology onto broken processe