FinThrive Puts Agentic AI at the Center of Healthcare Revenue Innovation
Healthcare revenue management is overdue for an intelligence upgrade. At this year’s HFMA Annual Conference, FinThrive is making its case for leading that transformation—introducing Agentic AI, an autonomous, decision-making layer designed to supercharge revenue cycle management (RCM) with next-generation intelligence.
While most RCM platforms lean on rule-based automations, FinThrive’s Agentic AI steps into new territory. This system doesn’t just automate—it thinks. Powered by real-time data analytics and deeply integrated across the revenue cycle, Agentic AI adapts to payer behavior, flags gaps in documentation, prioritizes accounts, and even executes corrections midstream.
It’s not just another AI module; it’s a full-stack shift in how healthcare organizations recover revenue, streamline operations, and stay compliant in a constantly shifting regulatory landscape.
From Reactive Automation to Autonomous Revenue Ops
What separates FinThrive’s Agentic AI from typical automation tools is its agentic architecture—a network of intelligent digital agents that learn, adapt, and act across workflows.
“We’re moving beyond RPA and traditional AI into intelligent, autonomous operations,” said John Landy, Chief Technology Officer at FinThrive. “This is what healthcare revenue needs: speed, intelligence, and adaptability baked into every layer of the process.”
These agents do more than streamline workflows:
- Flag incomplete or non-compliant documentation in real time
- Prioritize and reassign accounts based on payer trends
- Correct coding discrepancies autonomously
- Adapt workflows to payer rule changes on the fly
- Monitor for fraud, errors, or underpayments with near-instant alerting
FinThrive’s architecture uses a real-time data fabric and cloud-based infrastructure, ensuring continuous learning and optimization across payer interactions. It’s a future-ready operating system for healthcare revenue—intelligent, adaptive, and measurable.
Live at HFMA: Agentic AI + Denials & Underpayments Analyzer
Attendees at HFMA 2025 aren’t just hearing about the innovation—they’re seeing it firsthand.
At Booth #631, FinThrive is giving live demos of its brand-new Denials & Underpayments Analyzer—an AI-driven tool that converts payer data chaos into clear, actionable insights. The system uncovers denial patterns and underpayment trends, helping revenue teams recover missed income opportunities with surgical precision.
Combined with Agentic AI, the analyzer strengthens FinThrive’s promise to make revenue recovery not only faster, but smarter and more accurate.
RCMTAM: The Roadmap to Measurable Modernization
Also taking the stage is RCMTAM, the Revenue Cycle Management Technology Adoption Model. Launched in partnership with HFMA, this benchmarking framework gives providers a clear, company-agnostic lens to assess RCM technology maturity and prioritize investments accordingly.
“It’s not just about tech—it’s about outcomes,” said Evan Goad, Chief Growth Officer at FinThrive. “RCMTAM helps connect the dots between adoption and actual financial performance.”
Goad will co-present with Mike Vigo, Chief Revenue Cycle Officer at UC San Diego Health, on June 23 at 3:00 p.m., sharing how RCMTAM has helped health systems improve modernization strategies and optimize financial returns.
Why Agentic AI Is a Big Deal
As hospitals face razor-thin margins, staff burnout, and increasing compliance pressure, tools that offer hands-free intelligence are no longer a luxury—they’re a necessity. Agentic AI marks FinThrive’s boldest step yet toward a truly autonomous RCM platform that delivers measurable impact without adding workload.
Expect more intelligent agents in the near future, each designed to tackle specific bottlenecks in the revenue cycle—from prior authorization to claim adjudication. And with compliance rules getting stricter, Agentic AI ensures AI-generated content aligns with regulatory frameworks right out of the box.
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