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

Most executive dashboards are performance theater. When companies track everything, they prioritize nothing. The real danger is not lack of data, but metric bloat that erodes focus, wastes labor, and diffuses accountability. It is time to shift from data-driven to decision-driven leadership.

The Costa Rican Social Security Fund is facing a massive crisis following a failed ERP launch. With ₡1.34 billion in extra costs and 57-day payment delays, we analyze what went wrong.