Defensible Audits at Scale: How Auditor-Governed AI Meets Rising Regulatory and Payer Pressure

Revenue is under siege from two directions. Denials have jumped double digits. At-risk payer audit dollars averaged $19 million per customer in 2025, up from $4 million two years ago. And payers are automating their adjudication faster than most providers can respond. Autonomous coding solutions promise speed but create algorithmic liability. What’s actually working is a different approach: AI that keeps auditors in control, produces defensible determinations, and scales audit without gambling with compliance. What You’ll Learn Why current audit approaches can’t scale fast enough to keep pace with payer pressure How AI-assisted (not autonomous) audit changes the economics of compliance The revenue impact of moving from reactive (post-bill) to proactive (pre-bill) audit Why autonomous coding inflates risk rather than reducing it How leading health systems are protecting $19M+ in at-risk revenue annually through auditor-governed approaches