10 Best AI Surgical Prior Authorization Tools

Quick answer: The best AI surgical prior authorization tools in 2026 split sharply by which side of the request they run on. Honey Health leads the provider side for surgical practices that want procedure PAs documented, submitted, and chased across payers inside their existing EHR. Infinx and Coral bring AI to provider-side submission; Rhyme runs an AI-driven touchless network; and Cohere, Anterior, Humata, Basys, and Banjo are the AI health plans use to review surgical and MSK requests. Itiliti modernizes payer policy. The right pick depends on whether you're getting surgeries approved or deciding them — and on how much you trust AI in a high-stakes decision.

Surgical prior authorization is where the stakes of AI get real. A delayed approval can postpone an operation, and a wrong denial can keep a patient from a medically necessary procedure — so the question of who is using AI, and how, matters more here than almost anywhere else in the back office. On the provider side, AI agents now assemble the clinical packet a surgery needs and chase the payer to a decision. On the payer side, health plans deploy AI to review those same requests, including the musculoskeletal and surgical procedures that drive the most utilization-management scrutiny.

That two-sided dynamic means "AI surgical prior authorization" describes very different products depending on your seat. A surgical practice wants an agent that gets a knee replacement or spinal fusion approved before the OR date. A health plan wants a review engine that auto-approves the clean cases and routes the rest to a clinician. Conflating the two leads to shortlists full of tools you can't actually buy.

This guide ranks the AI-native tools across both sides, with a clear best-fit and an honest read on where each one stops. It's the AI spoke of our procedure and surgical PA software guide and part of the broader AI prior authorization hub.

Last updated: June 2026.

Why AI in surgical PA is a two-sided story

Most categories of AI prior authorization lean one way. Surgical PA is genuinely two-sided, because surgery is exactly the kind of high-cost, clinically complex service that payers scrutinize hardest — which means both the provider trying to get a procedure approved and the plan deciding whether to approve it have strong reasons to automate.

That creates a trust gap worth naming. Providers are wary of payer AI for good reason: the AMA's 2025 survey found only about one in three physicians trust the AI insurers use to make prior authorization decisions, and surgical denials carry real clinical weight. The better payer-side tools respond to that with approve-only designs and interpretable decisioning, keeping denials in human hands. On the provider side, the trust question is different — it's about accuracy and whether the AI knows when to hand a complex case to a person rather than forcing it through.

How we evaluated these AI surgical PA tools

We included tools built around modern AI — large language models, machine learning, or autonomous agents — that do real surgical or procedure PA work, serve US healthcare in 2026, and are HIPAA-compliant. We left the non-AI RCM and clearinghouse platforms to our general guide. The dimensions that mattered most:

• Which side it serves — the practice submitting a procedure, or the payer reviewing it?
• Documentation handling — can it assemble the clinical justification a surgery requires?
• Autonomy and judgment — does it submit and chase, decide, or know when to route to a human?
• EHR and portal fit — does it operate across the payer portals you use, or need an integration?
• Trust design — for payer tools, is the decisioning interpretable and denial-safe?

There's no universal winner. A surgical practice and a health plan need opposite tools, so each entry below carries a clear best-fit and an honest note on its limits.

AI surgical PA tools at a glance

The 10 best AI surgical prior authorization tools in 2026

1. Honey Health — best for end-to-end surgical PA across payers

Honey Health runs surgical prior authorization as an AI staff member that works the whole request rather than a slice of it. The agent identifies the procedure's PA requirement in the EMR, assembles the clinical justification a surgery needs from the chart — conservative-treatment history, imaging, notes — logs into the payer portal to submit, monitors status across the days the payer takes, and writes the decision back so scheduling always knows where a case stands. It runs on agentic browser automation, so it operates the payer portals and the 20+ EHRs your staff already use without an integration project.

Surgical PA rewards persistence, and that's where the agent earns its keep: it follows up relentlessly so an approval lands before the OR date, and it routes low-confidence or genuinely complex cases — the ones drifting toward a peer-to-peer — to a person rather than forcing them through. Pricing runs per completed PA, about $1.50 to $2 including the follow-up, and Honey reports practices offsetting roughly one full-time coordinator per 25 new PAs a day, 80 to 95 percent less manual effort, and 99.8 to 99.9 percent task accuracy.

Honey works the provider's side of the request and doesn't render the payer's decision, and it's a newer name than some incumbents, so buyers who weight tenure should ask for references at their surgical volume. For surgical and procedural practices that want authorizations worked end to end against the OR calendar, inside the systems they already run, it's the strongest fit on this list.

2. Cohere Health — best for AI utilization management in MSK and surgical

Cohere Health brings AI to the payer side of surgical authorization, with musculoskeletal and surgical procedures as a core focus. It helps health plans run utilization management, auto-approving requests that clearly meet evidence-based criteria and routing the rest into clinical review, which at its best means a clean orthopedic or spine request clears faster than it would through a manual queue. A $90 million Series C in 2025 and the acquisition of ZignaAI reinforced its standing among the AI-forward UM vendors.

A surgical practice experiences Cohere indirectly — when a payer runs it, submitting can get smoother, but it isn't software a provider licenses to push its own cases through. Understanding it as the AI increasingly sitting on the other end of an MSK or surgical request helps explain why some payers' approvals now move faster than others. For health plans modernizing surgical and MSK utilization management, Cohere is among the leaders, and a useful name for practices to recognize on the receiving side.

3. Humata Health — best for touchless PA on procedures

Humata Health automates prior authorization across medical procedures and specialty drugs for both providers and payers, built on AI policy matching, automated statusing, and gold-carding, with a stated aim of roughly 90 percent touchless authorizations. Its roots are in Olive AI's prior-authorization business, and it raised about $25 million in 2024 to carry that work forward, with procedures squarely in scope.

Spanning both sides of the transaction gives Humata reach, and it tends to land most naturally with enterprise revenue-cycle teams and health systems that can apply it across a wide procedure mix. A smaller surgical practice may find it heavier than a focused agent, and the touchless rate it advertises depends heavily on the payer and procedure mix in question. For health systems and large surgical groups that want touchless PA spanning procedures and specialty drugs, it's a strong candidate.

4. Anterior — best for AI clinical review in surgical UM

Anterior builds AI for health-plan clinical review, reading the submitted record against payer criteria and designed to approve cases that clearly meet medical necessity while routing the rest to human reviewers. It raised a $40 million round in early 2026 — about $64 million total, backed by NEA and Sequoia — and its approve-only posture is a deliberate answer to the trust problem around automated surgical denials.

For a surgical practice, Anterior is the plan's review engine, not a tool a provider deploys to submit, so its relevance is in understanding how a payer evaluates a procedure rather than in fixing a practice's own queue. Its design choice — automate approvals, keep denials human — is exactly the kind of guardrail that makes AI more palatable in surgical decisions. For health plans and risk-bearing organizations that want AI accelerating surgical UM approvals without automating denials, it's a notable option.

5. Infinx — best for AI surgical PA with coding

Infinx pairs AI-driven prior authorization with revenue-cycle and coding services on the provider side, submitting requests to payers from one place and running an authorization determination engine that flags what a given procedure requires. For surgical and procedural groups, the coding alignment is a real advantage — making the CPT and the authorization match is precisely where surgical claims tend to break.

The model blends software with a services team, so it operates more like a managed partnership than a self-serve agent, and how much a group gains scales with how much of the work it hands over. That suits organizations wanting a partner rather than a tool, and fits less cleanly for a practice that wants the workflow fully in-house. For surgical and imaging-adjacent groups that want AI-assisted PA submission paired with coding expertise, Infinx is well-positioned.

6. Coral AI — best for drafting surgical PAs across intake

Coral AI replaces rules-based RPA with AI across the back office, and prior authorization — extracting clinical data, reasoning over criteria, and drafting the authorization for review — runs alongside its fax and intake workflows, procedures included. It raised seed funding led by Lightspeed and reports more than 500,000 workflows a month across its customers.

As a younger, seed-stage company, its footprint is still building, it isn't surgical-specific, and its PA output is frequently drafted for a human to review rather than fired fully autonomously on every case. That makes it a fit for groups that want AI accelerating surgical and other PAs as part of a broader intake-automation effort, rather than a dedicated surgical agent. For practices modernizing the whole front-of-house with AI and folding procedure PA into that, Coral is worth a look.

7. Rhyme — best for an AI-driven network for touchless PA

Rhyme (formerly PriorAuthNow) takes a network approach, connecting providers and payers directly and applying automation to make existing authorizations run touchless, reporting more than four million prior auths a year across many of the largest provider organizations. For procedures covered by its payer connections, that direct link can collapse the back-and-forth a surgical request usually generates.

How much benefit you see depends on which of your payers participate in the network — coverage is the variable that decides how many surgical authorizations actually go touchless versus falling back to manual work. The model rewards larger organizations with the payer relationships and volume to capitalize on it, and leans more toward connectivity-plus-automation than autonomous reasoning. For large provider organizations whose payer mix overlaps Rhyme's network, it can take real friction out of procedure PA.

8. Basys.ai — best for interpretable AI surgical PA for payers

Basys.ai builds AI agents for prior authorization aimed at payers, emphasizing secure, interpretable, and adaptive decisioning across medical and pharmacy benefits — surgical procedures among them — plus provider workflow automation. The interpretability focus speaks directly to the trust problem that surrounds AI in surgical decisions.

Basys sits on the payer side, so a surgical practice doesn't deploy it to submit procedures; it's decisioning infrastructure a plan licenses. Its emphasis on explainability is the differentiator worth watching, since a surgical denial a plan can't explain is exactly what erodes provider trust. For payers and risk-bearing organizations that want explainable AI behind their surgical PA determinations, Basys is a credible choice.

9. Banjo Health — best for AI PA decisioning for plans

Banjo Health helps health plans and PBMs manage the medical and pharmacy PA workflow from request through clinical review to appeals, reading submitted records against payer criteria — applicable to surgical procedures on the medical-benefit side. It's built for the decisioning end of the transaction, with an end-to-end view from intake to appeal.

For a surgical practice, that orientation is the boundary: Banjo isn't something a provider buys to submit procedures — it's the AI on the other side of the request. Its strength is giving a plan a single workflow across the whole PA lifecycle rather than a point tool. For health plans modernizing their own surgical and medical PA and clinical-review processes, Banjo is built for the job.

10. Itiliti Health — best for structured-policy PA for payers

Itiliti Health modernizes prior authorization for payers by digitizing medical policies into structured, machine-executable logic and clearly communicating payer rules to providers, so the right policy is applied in the right context. Notably, it's deliberate about where it uses generative AI — preserving original policy language rather than letting a model paraphrase it — which is a thoughtful stance for surgical criteria where precision matters.

That structured-policy-first approach is both its strength and its boundary: it's payer-side infrastructure, not a provider submission tool, and its careful posture on AI means it leans on structured logic more than autonomous generation. For health plans that want to operationalize surgical and medical policy consistently — and to give providers clearer rules up front — Itiliti is a strong fit.

How to choose an AI surgical PA tool

Start by identifying your seat, because it eliminates most of the list immediately. If you're a surgical practice or group, the payer-side engines — Cohere, Anterior, Basys, Banjo, Itiliti — aren't yours to buy; your shortlist is the provider-side AI that submits and chases. If you're a health plan, the reverse holds, and the central question becomes how interpretable and denial-safe the decisioning is, given how much provider trust rides on surgical denials.

Among provider-side tools, weigh how much of the workflow the AI actually carries. Surgical PA is documentation-heavy, so a tool that assembles the clinical packet and chases the request to a decision — the way Honey Health's agent does — removes far more labor than one that drafts a request and hands the rest back. Match the model to your size, too: networks and services-led platforms (Rhyme, Infinx) suit larger organizations, while a focused agent fits an independent practice that wants the work done without an integration program.

Then pressure-test the judgment. The most important question for any surgical AI isn't how much it automates but whether it knows when to stop — whether it routes the genuinely complex case, the one heading toward a peer-to-peer, to a clinician rather than forcing it through. A tool that pushes everything through automatically is a liability in surgery; a tool that escalates the hard cases is an asset.

Finally, account for integration cost. Anything requiring a per-EHR build carries a hidden tax that agentic browser automation avoids, and for a surgical practice the speed-to-live difference is the difference between fixing this quarter's authorization backlog and waiting on an IT roadmap. For the full field including the RCM and connectivity platforms, see our procedure and surgical PA software guide.

Frequently asked questions

What is AI surgical prior authorization?

AI surgical prior authorization uses machine learning or autonomous agents to do procedure-PA work once done by hand. On the provider side, it reads the order, assembles the clinical justification a surgery requires, submits to the payer, and chases status to a decision. On the payer side, it reviews the request against criteria and helps render the call. The two are different products at opposite ends of the same surgical request.

Can AI get a surgery approved on its own?

For much of the volume, AI handles the work end to end — identifying the requirement, building the packet, submitting, and following up — while routing genuinely complex cases to a person. It can't conduct a peer-to-peer call, since that's a physician-to-physician conversation, but it can prepare stronger justification to reduce how often one is needed. Honey Health, for example, works routine procedure PAs autonomously and escalates the cases that need clinical judgment.

Why do physicians distrust AI in surgical prior authorization?

Much of the concern is about payer-side AI making denials: the AMA's 2025 survey found only about a third of physicians trust the AI insurers use for PA decisions, and a surgical denial has real clinical consequences. That's why the better payer tools use approve-only designs and interpretable decisioning. Provider-side AI raises a different question — accuracy and knowing when to escalate — which is why a high touchless rate paired with a clean exception lane matters.

Is provider-side or payer-side AI right for my surgical practice?

A surgical practice needs provider-side AI that submits and chases procedure authorizations — Honey Health, Infinx, Coral, and the like. Payer-side AI (Cohere, Anterior, Basys, Banjo, Itiliti) is licensed by health plans to review those requests. A practice can't fix its authorization queue with a payer tool, so identify your side before building a shortlist.

How does AI surgical PA software handle peer-to-peer reviews?

Software can't conduct the peer-to-peer itself, but strong AI tools reduce how often one is triggered by assembling better clinical justification upfront, and they flag the cases heading toward review early so a clinician can prepare. The key behavior is escalation: routing the case that needs a physician's judgment to a person rather than forcing it through automatically, which is how Honey Health handles its low-confidence and complex surgical cases.

How much do AI surgical PA tools cost?

Pricing varies by model. Agent platforms like Honey Health charge per completed authorization (about $1.50 to $2), so cost scales with volume; services-led and network platforms price by contract or transaction; and payer-side tools are sold to health plans rather than practices. Normalize every provider-side quote to cost per completed authorization at your surgical volume, and weigh it against the loaded cost of the coordinator time procedure PAs consume today.

AI is reshaping surgical prior authorization from both sides of the request at once, which makes your seat the first thing to settle and the trust design the second. Favor provider-side tools that assemble the clinical packet, chase the approval to the OR date, and escalate the hard cases rather than forcing them through — and for a surgical practice that wants procedure PA worked end to end inside the systems it already runs, Honey Health is a strong starting point.