The conversations at HFMA's Annual Conference 2026 kept circling a single idea: the revenue cycle is shifting from recovering lost revenue to preventing the loss in the first place. For years, that was a slide-deck aspiration. The numbers have turned it into something harder to ignore i.e. a clear account of what the old, reactive model costs, and where the new, AI-enabled one is heading.
The thesis is straightforward. The revenue cycle of the future will be won upstream, by the organizations that stop the loss before it happens and not downstream, by the ones who chase it after the fact. This is clearly a case where AI can add significant value. For two decades, we have engineered the revenue cycle around recovery: let the denial happen, then deploy people, vendors, and now algorithms to win the money back. That logic is finally beginning to break. The cost of staying reactive start with the price of the status quo, because it is larger than most balance sheets let on.
By their own estimate, revenue cycle leaders spend about three-quarters of their effort fixing problems created upstream, and only a quarter preventing them. [15] That ratio is worth pausing on: three of every four hours go to cleaning up a mess made earlier in the same process.
The bill is real, and it keeps climbing. U.S. hospitals spent an estimated $19.7 billion contesting denied claims in 2022; a year later, $25.7 billion. [2] By 2025, the American Hospital Association put the cost of simply chasing money insurers already owed at roughly $43 billion a year. [3] And here is the part that should interest any CFO: most of those claims were never wrong. Close to 70% of denials are eventually overturned and paid. [2] Billions of dollars go toward re-litigating decisions that should have gone the provider's way the first time.
The drag runs deeper than the appeals bill. Denials alone can swallow as much as 5% of a hospital's net patient revenue — around $5 million a year for the average organization. The best operators hold the line at 2–3%. [5][6] Across a 2,300-hospital benchmark, the picture is starker: denials and uncompensated care accounted for more than $48 billion in losses last year, up from $38.6 billion, as net revenue leakage rose 25%. [7]
Roughly 90% of denials are preventable, and nearly half trace back to the front end: registration, eligibility, and authorization. [4] A denial that surfaces at adjudication is usually the last link in a chain of small breakdowns that began much earlier. By the time the claim goes out, its fate is often already sealed. The most effective place to act, then, is before the claim is ever created.
Prior authorization is where this hurts most. In the AMA's latest survey, physicians and their staff handle an average of 40 prior authorization requests a week; 95% say it delays patient care, and 79% have watched patients walk away from treatment because of it. [8] And the denials rarely hold. In Medicare Advantage alone, insurers issued 52.8 million prior authorization determinations in 2024 and denied 7.7% of them —yet of the small fraction providers bothered to appeal, 80.7% were overturned.[9] Put plainly: most of the care that was denied turned out to be appropriate. It was simply delayed — at a cost to patients, and cash flow.
Three forces are pushing thecycle from reactive to preventive at once.
The first is regulation, and it is compressing the clock. CMS's Interoperability and Prior Authorization rule (CMS-0057-F) now requires affected payers to decide urgent requests within 72 hours and standard ones within seven days, starting in 2026, and to stand up FHIR-based prior authorization APIs by 2027. [10] At the same time, the largest payers are pulling requirements back: United Healthcare has committed to cutting prior authorization on 30% of remaining services by the end of 2026, and Humanato remove about a third of its outpatient requirements. [11][12] It would be a mistake to read this as the problem solving itself. Fewer requirements reward the organizations whose front end is ready to absorb the change, and quietly penalize those still running on manual follow-up. The theme of 2026 is readiness, not relief.
The second is AI's move from pilot to production. The adoption data presented at AC26 makes the shift visible: ambient clinical documentation climbed from 42% to 68% in a single year, AI-based documentation integrity from 27% to 43%, and AI-drafted replies to patient messages grew 80%. [13] The telling part is the other end of thechart. The least-adopted use cases — prior authorization, eligibility agents, automated appeals — are exactly the agentic, payer- and patient-facing workflows where the cost concentrates. That is where the next wave of value sits. McKinsey estimates AI could cut cost to-collect by 30–60% and expects leading organizations to move from pilots to production-scale agentic deployments over the next two to three years. [1] The metric that captures it is the touchless rate — claims that travel from charge to cash without slowing a human down, because a human already set the rules they follow. Most systems sit at 30–40% today; the benchmark for straightforward encounters is closer to 80–85%. [1][16]
The third force is the market itself, scaling to match. The U.S. revenue cycle management market is on track to grow from roughly $190 billion in 2025 to about $308 billion by 2030 — a compound rate near 10%. [14] Capital is following the problem.
The organizations pulling ahead are not the ones buying the most tools. The recurring lesson from the HFMA report is that technology is the accelerant; rewiring the operating model is what unlocks the value. [15] It distills into four shifts worth treating as a blueprint: redesign work end to end instead of automating one task at a time; let automation carry the routine volume so people can focus on exceptions, patients, and payers; connect the AI across the cycle into a single fabric, so each tool's output feeds the next; and build AI that leaders can explain and auditors can trace.
The workforce question has ananswer worth repeating, because it surfaced repeatedly at AC26: elevate, not eliminate. As the transactional work gets automated, coders, billers, and access staff move toward exceptions, analytics, and fixing problems at the source. The skills change. The people do not disappear.
So if the case is this clear,what is holding everyone back? Not capability. Trust.
Ask revenue cycle leaders what worries them most about automation, and the top answer is not lost jobs, it is "errors scaling faster than humans can catch." [15] An autonomous agent that quietly fumbles eligibility at scale does not prevent denials; it manufactures them faster. The second barrier is the interface itself. Payer and patient communication is still scattered across phone calls, portals, and disconnected systems, so even strong workflow automation stalls at the hand-offs.
The organizations that win the next five years will close both gaps together i.e. pairing unattended automation they can trust with a connected, human-facing layer for payers and patients. The prevention-first revenue cycle is well within reach. The open question is how, precisely, to build it.
That is the subject of Part 2,where we lay out how Aivar equips US revenue cycle teams to make the shift.
1. McKinsey & Company — "AgenticAI and the race to a touchless revenue cycle" (January 2026).https://www.mckinsey.com/industries/healthcare/our-insights/agentic-ai-and-the-race-to-a-touchless-revenue-cycle
2. Premier, Inc. — "ClaimsAdjudication Costs Providers $25.7 Billion; $18 Billion Is Potentially Unnecessary Expense" (February 2025; includes the $19.7B 2022 baseline).https://premierinc.com/newsroom/policy/claims-adjudication-costs-providers-257-billion-18-billion-is-potentially-unnecessary-expense
3. Revecore / American Hospital Association — "When the Biggest Health Systems Are Still Fighting Denials" (May 2026; cites the AHA ~$43B collection estimate).https://www.revecore.com/insights/resources/health-system-denials-underpayments-2026
4. HFMA / Conifer Health Solutions —"Preventing denials before they happen: How revenue intelligence is reshaping the revenue cycle" (June 2026).https://www.hfma.org/revenue-cycle/denials-management/preventing-denials-before-they-happen-how-revenue-intelligence-is-reshaping-the-revenue-cycle/
5. Journal of AHIMA — "Claims Denials: A Step-by-Step Approach to Resolution" (2024).https://journal.ahima.org/page/claims-denials-a-step-by-step-approach-to-resolution
6. Care Cloud — "Why Hospital Claim Denials Are a $262 Billion Problem and What CFOs Can Do About It" (May2026).https://carecloud.com/continuum/why-hospital-claim-denials-are-a-262-billion-problem-and-what-cfos-can-do-about-it/
7. Kodiak Solutions / Healthcare FinanceNews — "Hospitals' net revenue leakage increases 25% due to denied claims" (April 2026).https://www.healthcarefinancenews.com/news/hospitals-net-revenue-leakage-increases-25-due-denied-claims
8. American Medical Association —"AMA survey: Prior authorization reform pledge falls short with physicians" (2025 survey, released May 2026).https://www.ama-assn.org/press-center/ama-press-releases/ama-survey-prior-authorization-reform-pledge-falls-short-physicians
9. KFF — "Medicare Advantage Insurers Made Nearly 53 Million Prior Authorization Determinations in 2024" (January 2026).https://www.kff.org/medicare/medicare-advantage-insurers-made-nearly-53-million-prior-authorization-determinations-in-2024/
10. Centers for Medicare & Medicaid Services — "CMS Interoperability and Prior Authorization Final Rule (CMS-0057-F)" Fact Sheet (January 2024).https://www.cms.gov/newsroom/fact-sheets/cms-interoperability-and-prior-authorization-final-rule-cms-0057-f
11. United Health Group —"United Healthcare Cuts Prior Authorization Requirements by 30%" (May2026).https://www.unitedhealthgroup.com/newsroom/2026/2026-05-05-uhc-cuts-prior-authorization-requirements-by-30-percent.html
12. Humana — "Humana Accelerates Efforts to Eliminate Prior Authorization Requirements" (July 2025).https://www.businesswire.com/news/home/20250722551810/en/Humana-Accelerates-Efforts-to-Eliminate-Prior-Authorization-Requirements-to-Ensure-a-Faster-More-Seamless-Process
13. Eliciting Insights — "Health System Adoption of AI Solutions" (February 2026; data as presented at HFMAAC26). https://www.elicitinginsights.com/
14. Grand View Research — "U.S. Revenue Cycle Management Market Size & Outlook" (~$190B in 2025 to$308.2B by 2030).https://www.grandviewresearch.com/industry-analysis/us-revenue-cycle-management-market-report
15. HFMA — "The Revenue Cycle of the Future" report and "4 shifts that define the revenue cycle of the future" (April 2026; survey n=95).https://www.hfma.org/revenue-cycle/ai-revenue-cycle-transformation/
16. Nirmitee.io —"Touchless Revenue Cycle: The McKinsey Framework for Automation"(April 2026); touchless-rate benchmarks based on McKinsey's framework.https://nirmitee.io/blog/touchless-revenue-cycle-mckinsey-framework-automation-healthcare/
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