There is far more nuance to where health systems use AI in the revenue cycle than headlines suggest. Leaders discuss automation and AI interchangeably and often mistake highly visible use cases for maturity. As a result, activity can appear more advanced than it is, making it difficult to understand where meaningful AI capability is truly being built.

This report helps leaders cut through that noise. Drawing on more than 20 research interviews with provider revenue cycle leaders, CIOs, CFOs, and four months of literature review, this report examines where organizations consistently use AI today, where adoption remains early or uneven, and where providers explicitly draw the line.