The Dark Side of AI We see the same mistakes over and over again in Artificial Intelligence (AI) and Revenue Cycle Management (RCM) projects: data drift, misaligned KPIs, and weak governance. An example of issues that shrink projected revenue and create quality and compliance risks on implementation projects is provided below: Drift and Decay: The AI Model Gets Worse Silently The Pitfalls:   Teams launch new AI models and forget about them. The environments begin to change ov

AI Audit Ready RCM AI is reshaping revenue cycle management (RCM)— but is it compliant? We provide a concise set of guardrails to make sure your AI-driven RCM is audit-ready. Start with immutable audit trails that record AI decisions, data sources, and model versions. Require regular bias and fairness assessments that cover demographic and payer-related impacts. Maintain documentation standards: data lineage, validation results, change logs, and approved use cases. Map AI out

Why Are AI In RCM Denials Increasing? According to Fortune Business Insights, the global AI Market was valued at $29 billion in 2024. The USD AI market is expected to grow from $39.25 billion in 2025 to $504.17 billion in 2032, yet, despite all of the AI-driven technological advancements in Revenue Cycle Management (RCM), hospitals had more than $260 billion of initial claims denied in 2024, and over $20-plus billion was spent fighting denials. Why aren't these AI-powered t