Modern healthcare operations rely on innovative technologies to optimize every aspect of their business. Revenue cycle management has often been viewed as a prime candidate for automation, but the challenge lies in deploying the right technology at the right time to drive real financial impact. Many solutions have promised efficiency gains but fallen short in execution. True transformation comes from AI-driven orchestration — leveraging revenue cycle automation, intelligent alerting, and AI agents in a way that ensures seamless integration and measurable results for provider groups, hospitals, and health systems.
The Problem with Payers
Payer behavior is a significant threat to cash flow for healthcare organizations. Payers are increasingly using AI to deny claims at scale, often leading to automatic rejections that burden your teams with costly and time-consuming appeals. Compounding this are ever-changing payer policies that keep denial rates up and team efficiency down.
In a recent research study of 80+ revenue cycle leaders, “frequent changes to payer adjudication rules or payer contract relationships” and “denial mitigation and remediation” were the top two most significant revenue cycle challenges in 2024. This same group predicted these challenges to remain constant in 2025. Revenue cycle teams are looking for a system that leverages AI and gives them the infrastructure to mitigate denials and stay one step ahead of payer behavior.
Solving RCM Challenges with AI
The problem is, there are many bespoke problems across RCM to solve. While one could adopt point solutions to solve narrow and highly specific problems, the reality is that the problems that exist today may not be the same problems that exist tomorrow.
That’s why many teams stand to benefit from first implementing an Intelligence layer to sit on top of your revenue cycle data. A platform like Adonis Intelligence can monitor your entire revenue cycle, analyzing trends and alerting you to the right problems that need to be addressed ASAP — particularly those that have the highest financial impact. More importantly, investment in this kind of infrastructure helps you futureproof your RCM strategy and outcomes by perpetually understanding the biggest problems that need to be addressed, present and future.
Introducing Adonis AI Agents
RCM teams today are often plagued with operational burdens imposed by payers in order to get the revenue they deserve. Since our company’s founding, we’ve heard stories of being on hold for hours on payer support lines or not being able to get necessary information until after a claim has already been denied. That’s where Adonis AI Agents come in.
With Adonis AI Agents, Intelligence can deploy AI Agents to perform tasks autonomously that typically require an FTE. With Intelligence and AI Agents, Adonis can monitor, alert, recommend, and deploy fixes without any human intervention, saving your team thousands of hours of manual work. AI Agents drive efficiency and ensure that you’re deploying AI across the most financially impactful tasks, maximizing recovery and increasing speed to cash.
Learn more about how Adonis Intelligence and AI Agents can transform your revenue cycle management operations, get a demo today.
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