Denials are the most talked-about AI use case in healthcare Revenue Cycle Management - and also the most misunderstood. Nearly every RCM vendor today claims to offer  AI-driven denial prediction . Yet despite widespread adoption of these tools, denial rates across many provider organizations remain stubbornly high. The problem isn’t that prediction doesn’t work. It’s that  prediction alone does not change outcomes . Why Denial Prediction Became the Default AI Use Case Denials

Artificial Intelligence has become the default narrative in healthcare Revenue Cycle Management (RCM). Nearly every RCM platform, service provider, and technology vendor now claims to use AI - to predict denials, automate workflows, accelerate cash, or “optimize” revenue performance. Yet for many provider organizations, the lived reality feels far less transformative. The disconnect is not because AI lacks potential. It’s because  AI in RCM is often discussed at the feature l