The CFO Playbook: How to Choose the Right AI for Your RCM That Actually Delivers ROI

In today’s healthcare economics, efficiency is profitability. But as payer complexities outpace human adaptability, CFOs face a new financial truth: manual revenue cycle management (RCM) can no longer sustain financial growth.

With average operating margins dropping below 2% and denials rising 23% YoY, RCM inefficiencies are costlier than ever. Every missed charge or delayed claim drains critical revenue. And that’s where AI delivers real value when done right.

This AI evaluation guide is designed to help healthcare CFOs separate AI value from AI hype with five ROI-defining questions, to empower them to invest in AI for RCM that strengthens financial control, not operational risk.

72% of CFOs rank AI as their #1 priority for RCM investment in the next 12 months.

Health systems and providers leveraging AI in RCM are reporting:

But not every AI delivers the same value.

This guide outlines five essential questions every CFO should ask to assess AI-powered RCM solutions by efficiency, predictability, and margin impact.

Manual RCM Has Hit the Breaking Point

Providers lose 20–30% of potential revenue to RCM inefficiencies.
Manual prior authorization tasks alone cost $35 billion every year.
Staff turnover in billing averages 11–40%, compounding rework.
A typical RCM team spends 25% of its time fixing errors.

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The CFO Playbook: How to Choose the Right AI for Your RCM That Actually Delivers ROI

72% of CFOs rank AI as their #1 priority for RCM investment in the next 12 months.

Manual RCM Has Hit the Breaking Point

CFOs leading with AI gain stronger financial control. Take the first step and invest in RCM AI that delivers measurable value, not just automation.

Our Mission

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Empowering Healthcare Practices With End-to-End Revenue Cycle Solutions