The denial letter arrived faster than usual — sometimes within hours, occasionally within seconds of submission. That speed is not a coincidence. A growing share of payers now use machine-learning models to make an initial pass on claims and prior authorization requests before any human ever looks at them, and physician groups have spent much of 2026 documenting what that shift means for approval rates. If your practice has noticed denials arriving quicker and feeling less tied to the specific clinical facts of the case, you’re not imagining it — and there’s a real playbook for pushing back.
What’s actually happening on the payer side
The American Medical Association has been tracking physician experience with AI-driven utilization review closely. Survey results reported by the AMA in 2026 found that a majority of physicians believe insurers’ use of AI has increased prior authorization denials, and separate AMA reporting found that only about one in three physicians trust insurers to follow through on the prior-authorization reform commitments many large payers publicly made back in 2025. A May 2026 AMA survey release was blunt about the gap between those pledges and what physicians are experiencing on the ground: automation in intake and initial review, faster turnaround on denials, and — in physicians’ reported experience — more denials that don’t seem to reflect a careful read of the clinical documentation submitted.
On the government side, the Centers for Medicare & Medicaid Services is running its own test of AI-assisted review in traditional Medicare through the WISeR model (Wasteful and Inappropriate Service Reduction), which uses AI tools to help identify certain services for prior authorization or pre-payment review in a subset of states. CMS, KFF, and Georgetown’s Center for Children and Families have all published detailed explainers on how WISeR is structured, and a recurring theme in that coverage is the requirement — built into the model specifically because of concerns raised about AI-only decision-making — that a licensed clinician, not an algorithm alone, must make the final adverse determination.
That last point matters enormously for how you should respond to a denial, because it points directly at your strongest lever.
The single most useful question to ask
Whenever a denial looks automated — fast turnaround, boilerplate denial reason, no clear engagement with the specific documentation you submitted — your first move should be to find out whether a qualified clinician actually reviewed the case, and to ask for that in writing. A growing number of states have passed laws in the past two years specifically requiring that adverse determinations involving medical necessity be reviewed by a licensed physician or appropriate clinician, not issued solely by an algorithm. Requirements and enforcement mechanisms vary by state, so check what applies in yours, but the pattern is consistent enough that “was this reviewed by a licensed clinician, and can you confirm their name and credentials in writing” is now a standard, defensible question to put in every first-level appeal for a denial that looks automated.
A practical fight-back checklist
- Request the specific denial rationale, not just the code. A CARC/RARC combination alone isn’t enough — ask for the payer’s stated clinical or coverage-policy basis for the denial in writing.
- Ask whether AI or algorithmic tools were used in the initial determination, and whether a licensed clinician reviewed the case before the denial was issued. Document the answer, including if the payer declines to answer directly.
- Pull the payer’s specific medical policy or coverage criteria for the service in question and compare it line by line against the documentation submitted — automated denials often cite generic criteria that don’t match the actual clinical scenario.
- File within the payer’s timely appeal window, but don’t rush the substance — a rushed first appeal that gets denied burns a level of review you may need later.
- Escalate to peer-to-peer review when the service required clinical judgment; insist the reviewing clinician be in a relevant specialty, which several state laws and payer policies now require.
- Track denial patterns by payer and reason code over time — if the same payer is denying the same service type on the same rationale repeatedly, that pattern itself is useful evidence for an external review or a state insurance-department complaint.
- Use the external/independent review process when internal appeals are exhausted — most states and ERISA plans provide for an independent external reviewer, and denials that leaned on automated logic often don’t hold up well under an independent clinical read.
A practitioner’s experience
Billing staff who handle appeals daily have started keeping informal logs of denial turnaround times by payer specifically because the pattern itself is now useful evidence. One appeals specialist at a multi-provider practice described noticing that a particular payer’s post-acute-care denials were arriving in under two hours with nearly identical boilerplate language regardless of the clinical specifics submitted — a pattern that, once documented and raised directly with the payer’s provider relations team along with a request for clinician-review confirmation, led to a policy clarification call and a reversal on several pending cases. The lesson practitioners keep repeating: don’t just resubmit the same appeal louder — ask, in writing, how the original decision was actually made.
What to watch going forward
Expect this to keep evolving through the rest of 2026 and into 2027: more states legislating clinician-review requirements for algorithmic denials, continued scrutiny of the WISeR model as its state pilots run, and payers under pressure to show they’re honoring the prior-auth reform pledges the AMA has been tracking. None of that removes the burden from providers today, but it does mean the paper trail you build now — dates, denial rationales, whether a human clinician was named — is exactly the kind of documentation that regulators and independent reviewers are increasingly asking for.
Takeaway: A fast, generic-sounding denial is a signal, not a dead end — ask explicitly whether a licensed clinician reviewed the case, document the payer’s answer, and use that documentation to drive your appeal and, if needed, an external review. The mechanism behind the denial is now fair game to challenge, not just the clinical facts.