Data quality erodes over time without detection, degrading AI outputs. We map AI Quality Controls to measurable financial risk reduction in revenue cycle management (RCM). Our targeted QA Auditing identifies and reduces claim errors, lowers denials, and improves net collections—so CFOs see clear ROI. For example, a 4% error-rate reduction on $200M annual gross charges can yield ~$2.4M in additional net collections after write-offs and cost numbers validated through P3 Quality