Why Agentic AI Is Not a Denial Silver Bullet
Chris Spady offers an honest assessment of what agentic AI can and cannot do for claims denial management. He acknowledges that the industry has moved from cautious observation to "go go go" in under 18 months, and that Erlanger Health does not want to be left behind. But he is direct that AI will not solve the industry's denial problem, because denials are too profitable for payers and payer-side AI is already ahead. The case for adoption is not transformation but competitive parity, and he sees the primary near-term opportunity in cost reduction through AI-assisted workflows rather than in eliminating denials at scale.
Key Takeaway
Agentic AI in revenue cycle is a competitive necessity, not a solution to the industry's denial problem. Organizations that adopt it will reduce costs and stay current with health systems investing in the technology. Organizations that do not will find themselves chasing payers that are already ahead.
“I don’t think it’s going to solve the industry’s denial problem. That’s just too big of business on the payer side, to be frank. But if we don’t keep up with the rest of the health systems, it’s going to be hard for us to be successful.”
Chris Spady, Senior Vice President of Revenue Cycle, Erlanger Health
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