Generative AI vs. Agentic AI: Unpacking the Differences and Their Impact on Healthcare Revenue Recovery
As artificial intelligence continues to evolve, two distinct branches are emerging in healthcare operations: Generative AI and Agentic AI. Both are powerful, but they serve very different purposes, especially when it comes to solving one of healthcare’s most costly challenges: claim denials.
Generative AI: Smart and Insightful
Generative AI refers to systems designed to create content by identifying patterns in data. Tools like ChatGPT or image generators are excellent at producing human-like text, drafting appeal letters, and summarizing denial reasons. These tools are valuable for documentation and analysis, but they’re reactive, responding to prompts but do not take independent action.
In healthcare revenue cycle management (RCM), generative AI can help explain why a claim was denied and suggest next steps. It’s a helpful assistant for understanding and organizing information. However, it doesn’t correct the underlying issues causing the denial, nor does it take steps to resolve them.
Agentic AI: Action-Oriented and Proactive
Agentic AI is built to take initiative. It uses intelligent agents to identify and correct errors in denied claims, especially those related to coding and data, without manual input. These systems are designed to go beyond analysis and actually support resolution.
At Ailevate, our AI-powered denial resolution solution works behind the scenes to clean up denied claims. Our agents automatically detect coding discrepancies, and deliver clean, corrected claims for your team to review and resubmit—keeping oversight where it matters most. This hands-off denial correction helps healthcare organizations recover revenue faster and with significantly less effort.
Why This Difference Matters
Healthcare providers lose over $262 billion annually to claim denials, and many spend 64% of their revenue cycle resources on rework. Yet most AI implementations still focus on generating content or insights, not solving the root causes of denials. That’s why understanding the difference between generative and agentic AI is so important, especially for organizations looking to reduce manual work and improve financial performance.
Embracing AI That Solves, Not Just Analyzes
Organizations that treat AI as a content generator or search tool may fall behind. The future belongs to platforms that take intelligent, targeted action—resolving errors, accelerating revenue, and integrating smoothly into existing workflows.
At Ailevate, we don’t just analyze denied claims, we fix what went wrong, so your team doesn’t have to.
Ready to move beyond AI that talks about problems to AI that solves them? Discover how Ailevate’s AI-powered denial resolution is helping healthcare organizations recover millions in lost revenue.
