Competing Against AI-Native RCM: Why Modular Automation Wins

Your competitors are pitching "AI-native" platforms, and you're wondering whether your piecemeal approach to RCM automation can possibly keep up. Should you rip everything out and rebuild around one giant AI system? In part two of this series, Sean McSweeney challenges the idea that AI-native is automatically better. He explains why a modular approach to RCM automation can be lower risk, more flexible, and easier to improve as technology changes. What You'll Learn: Why a single AI-native platform can make implementation harder, riskier, and more expensive Whether going modular means giving up unified, centralized data What AI's blind spots mean for how much of your workflow you should hand over What a fully autonomous, self-correcting AI system would actually require Start automating the pieces where AI works today, and expand your RCM automation iteratively instead of betting everything on a single platform.