10 Best AI Prior Authorization Tools (2026)

Quick answer: The best AI prior authorization tools in 2026 split into two camps — provider-side agents that submit and chase authorizations for your practice, and payer-side engines that decide them. For practices that want PA handled end to end across every payer inside their existing EHR, Honey Health leads this list with AI agents that find the requirement, submit it, and follow up on their own. Silna, Tandem, Humata, Develop Health, and Mandolin specialize by PA type, SamaCare and Coral cover specialty and intake-heavy workflows, and Cohere and Anterior bring AI to the health-plan side. The right fit depends on your PA mix, your EHR, and whether you're buying for the practice or the plan.

Prior authorization is the workflow practices most want AI to take off their hands — and the one they trust payers least to automate. Physicians complete about 40 PAs a week, spending roughly 13 hours of physician and staff time on them, and two in five now keep staff dedicated entirely to the task, per the AMA's 2025 prior authorization survey. That same survey found only about one in three physicians trust the AI insurers use to make PA decisions. So "AI prior authorization" means two very different things depending on which side of the request you sit on. This guide covers both, with the practice-side tools first, and names an honest best-fit and trade-off for each.

Last updated: June 2026.

How we evaluated these AI prior authorization tools

We included tools built around modern AI — machine learning, large language models, or autonomous agents — rather than legacy rule engines or RPA with an "AI" label added later. Each one had to do real prior authorization work, serve US healthcare in 2026, and be HIPAA-compliant. The dimensions that separated them:

• Autonomy — does the AI assist a human, submit and follow up on its own, or decide the request?
• Which side it serves — the provider working its queue, or the payer rendering determinations.
• PA types — medication only, or medical, imaging, procedure, and specialty drug.
• EHR and portal fit — does it run in the systems you already use, or need an integration?
• Human-in-the-loop model — what routes to a person, and when.

This isn't a single-winner ranking. An infusion center, a dermatology group, and a health plan each need a different tool, so every entry below carries a clear "best for." Industry-wide, only about 40% of medical PA transactions are fully electronic, per the 2025 CAQH Index — which is exactly the manual gap these AI tools are built to close.

AI prior authorization tools at a glance

The 10 best AI prior authorization tools in 2026

1. Honey Health — best for end-to-end PA across payers inside your existing EHR

Honey Health runs prior authorization as an AI staff member rather than an assistant. Its agent identifies the PA requirement in the EMR, logs into payer portals — Availity or direct, like UHC — submits the request, monitors status across the hours or days a payer takes, and cascades the decision back into the chart for the next step. It uses agentic browser automation, not an API integration or a brittle RPA script, so it works inside the systems you already run across 20+ EHRs including Epic, Oracle Health (Cerner), athenahealth, eClinicalWorks, and NextGen, plus the payer portals themselves. There's no integration project and no separate app for staff to learn.

Coverage spans medication, imaging and diagnostic, specialty-drug (biologics and infusions), and procedure PA. Pricing is per completed task — roughly $1.50–$2 per PA including the status follow-up — so cost tracks volume, not headcount. Honey reports customers offsetting about one full-time employee for every 25 new PAs a day, 80–95% less manual effort on the workflow, and task accuracy of 99.8–99.9%, with most practices live in two to three weeks and no onboarding fee.

The trade-off: Honey is provider-side and doesn't run office-visit PA, so it isn't the pick for a health plan automating determinations or for a group whose PA is mostly visit authorizations. Practices that want one agent to handle medication, imaging, procedure, and specialty-drug PA across every payer — without an integration — are the best fit.

2. Humata Health — best for touchless PA across procedures and drugs

Humata Health grew out of the prior authorization business of Olive AI and now sells a PA platform that connects both providers and payers. It does AI-driven policy matching, automated status checks, clinical bundling, gold-carding, and post-auth monitoring across high-volume medical procedures and specialty drugs, with a stated goal of 90% touchless authorizations and two-minute human reviews. The company raised about $25 million in 2024 and counts large health systems among its references.

Because it bridges both sides of the transaction, Humata is strongest where a provider and its payers can connect through the same platform — that's also the catch. Its center of gravity is enterprise revenue-cycle teams and health systems, so the buying motion and the value both lean large. A smaller independent practice may find it more platform than it needs. Best for health systems and large groups that want one connected PA layer spanning their own queue and payer determinations.

3. Silna Health — best for AI PA in therapy specialties

Silna Health is an AI-native platform built around patient-clearance work for therapy-heavy specialties — ABA, physical and occupational therapy, speech, and behavioral health. Its prior authorization product manages the full request including tracking, expiration reminders, payer-specific forms, follow-ups, and denial appeals, alongside specialty-specific benefit checks and continuous insurance monitoring. It also runs a pre-submission AI review of clinical documents against payer requirements. Silna raised $27 million (a $22 million Series A in March 2025 co-led by Accel and Bain Capital Ventures) and reports supporting more than 150,000 patients.

The focus is the strength and the limit. Silna is tuned to the authorization patterns of therapy specialties, where auths recur and expire on schedules; a multi-specialty group or a surgical practice will find the fit less direct than a vendor built for its mix. Best for ABA, PT/OT, speech, and behavioral-health organizations that want AI-native PA and eligibility designed for recurring therapy authorizations.

4. Tandem (Forus) — best for free, point-of-prescription medication PA

Tandem, through its Forus product, automates medication prior authorization starting from the prescription written in the EHR — generating the PA form, submitting it, following up with the payer, and handling appeals, plus pharma patient-assistance enrollment. It works with any drug, insurance, or pharmacy and runs with light EHR integration or none at all via document upload, with staff backstopping clinical edge cases. The model is unusual: it's free to providers and patients, monetized through pharma partnerships. Tandem reached a reported $137 million in total funding and a $1 billion valuation in a January 2026 round, with strong adoption in GI, dermatology, and rheumatology.

The narrow scope is the trade-off. Forus does medication PA well and only medication PA — it won't touch imaging, procedure, or other medical authorizations. The pharma-funded model is worth understanding too: free pricing is real, but the company's economics tie to drug access, which buyers should weigh against a neutral, practice-paid tool. Best for specialty practices with heavy biologic and specialty-drug PA volume that want medication authorizations handled at no software cost.

5. Develop Health — best for medication PA predicted at the point of prescribing

Develop Health is a GenAI platform that predicts medication coverage, cost, and requirements at the moment of prescription, then automates benefit verification, the prior authorization itself, and payer follow-up. It pulls clinical evidence from the EHR to auto-fill PA forms and is expanding its EHR and PBM integrations; the company raised $14.3 million in August 2025 and reports roughly 5x throughput on PA work for its users.

Develop Health concentrates on the pharmacy-benefit side of authorization — that's where it's strong and where it stops. Practices needing medical, imaging, or procedure PA will need a different tool for that volume, and the prediction-at-prescribing model delivers the most value where prescribers act on coverage signals in real time. Best for groups whose PA burden is concentrated in medications and who want coverage answered before the prescription leaves the visit.

6. Mandolin — best for specialty-drug access and PA

Mandolin bills itself as an agentic operating system for specialty-drug administration, aimed at infusion centers and specialty pharmacies. Its agents parse referral forms and faxes, run full benefits investigations across payer portals (including outbound payer calls), calculate patient out-of-pocket cost with co-pay assistance and 340B pricing, submit prior authorizations and follow up, and reason over clinical policy — all without APIs or integrations, writing results back into the EHR. The company raised a combined $40 million seed and Series A led by Greylock in 2025 and reports deployment across 700+ clinic locations.

The vertical lock is the consideration. Mandolin is deep on the buy-and-bill specialty-drug workflow and not built for general medical or procedure PA, so its value concentrates in infusion and specialty-pharmacy settings. Best for infusion centers and specialty pharmacies that want PA handled as part of the full specialty-drug access and reimbursement flow.

7. SamaCare — best for medical-benefit (buy-and-bill) drug PA

SamaCare runs an end-to-end medical-benefit prior authorization platform for specialty practices, built on AI trained on more than two million prior authorizations. It automates the most manual parts of the buy-and-bill PA process — form completion, submission, and status — and reports processing billions of dollars in medical-benefit drug authorizations. The company raised a $17 million Series B in 2024 and is used by specialty practices nationwide.

SamaCare is purpose-built for medical-benefit drugs, the J-code injectables and infusions that practices buy and bill — which makes it sharp there and silent elsewhere. It also reads more as an AI-accelerated workflow platform than a fully autonomous agent, so a human still owns the queue. Best for specialty practices (rheumatology, oncology, dermatology, ophthalmology) whose PA pain is concentrated in buy-and-bill medications.

8. Coral AI — best for PA plus referral and fax intake

Coral AI positions itself as the replacement for RPA in healthcare back-office automation. Its prior authorization workflow extracts the request data, checks eligibility, reasons over clinical criteria, and drafts the authorization for human review and submission — and it sits alongside referral-packet processing, fax automation, and patient intake on the same platform. Coral raised about $14.5 million in seed funding led by Lightspeed and reports more than 500,000 workflows processed a month.

As a younger, seed-stage company, its footprint is still building, and its PA output is drafted for a human to review and submit rather than fired fully autonomously in every case — a deliberate guardrail, but one that keeps a person in the loop. Best for groups that want AI handling PA together with the referral and fax intake that feeds it, and are comfortable partnering with an earlier-stage vendor.

9. Cohere Health — best for AI utilization management on the payer side

Cohere Health is the payer-side counterpart to most of this list. Its clinical-intelligence platform helps health plans run utilization management and auto-approve requests that clearly meet criteria, using agentic AI to speed determinations and cut back-and-forth. Cohere raised a $90 million Series C in May 2025 and acquired payment-integrity firm ZignaAI later that year, extending its reach across the plan side of the transaction.

For a practice, that orientation is the catch: when your payer runs Cohere, approvals can move faster, but it isn't a tool you buy to work your own queue across every payer. It's built for plans and risk-bearing entities. Best for health plans and risk-bearing groups modernizing their own utilization-management workflows — and useful for practices to recognize as the AI increasingly sitting on the other side of their requests.

10. Anterior — best for AI clinical review for health plans

Anterior (formerly Co:Helm) builds GenAI for health plans that automates the clinical review behind prior authorization and other plan workflows. Its system evaluates requests against clinical pathways and is designed only to support approvals — the company is explicit that it is never authorized to deny, delay, or modify care. Anterior raised a $40 million round in early 2026 from NEA and Sequoia, bringing total funding to about $64 million.

Like Cohere, Anterior is a payer-side tool, so a practice doesn't deploy it to submit auths — it's the AI a plan uses to read them. Its approval-only design is a deliberate answer to provider distrust of payer PA automation, but the buyer is the health plan. Best for payers and risk-bearing organizations that want AI to accelerate clinical review while keeping denial decisions with clinicians.

How do you choose an AI prior authorization tool?

Start with which side you're on. If you're a practice, the payer-side engines (Cohere, Anterior) aren't yours to buy — your shortlist is the provider-side agents that work your queue. If you're a plan or a risk-bearing group, the reverse is true.

Then match the tool to your PA mix. Medication-heavy practices have the most options (Tandem, Develop Health, plus the specialty-drug specialists); surgical and imaging-heavy groups need medical and procedural coverage, which narrows the field fast. If your authorizations span medication, imaging, specialty drug, and procedures, a tool that handles all of them — the way Honey Health's agent does — saves you from stitching point tools together.

Finally, weigh autonomy and integration honestly. Some "AI" tools draft and assist while a human still submits; others submit and follow up on their own. And anything requiring a per-EHR integration carries a hidden tax that agentic browser automation avoids. For the full field including networks, clearinghouses, and RCM suites alongside these AI-native options, see our companion guide to the best prior authorization software.

Frequently asked questions

What is AI prior authorization?

AI prior authorization is software that uses machine learning, large language models, or autonomous agents to do PA work that staff once did by hand — reading the requirement, gathering documentation, submitting the request, and following up on status. On the provider side it submits and chases authorizations; on the payer side it reviews and decides them. The two are different products solving opposite ends of the same transaction.

Can AI fully automate prior authorization?

For much of the volume, yes. Agentic tools like Honey Health work routine requests end to end across payer portals and write the result back to the EHR, with people stepping in only on genuine edge cases such as peer-to-peer reviews. How hands-off it gets depends on your payer mix and the complexity of each authorization, so the credible pitch is a high touchless rate plus a clean exception lane — not 100% autonomy.

Is provider-side or payer-side AI prior authorization better?

Neither — they serve different buyers. Provider-side AI (Honey Health, Silna, Tandem, and most of this list) submits and tracks authorizations for a practice. Payer-side AI (Cohere, Anterior) renders determinations for a health plan. A practice can't fix its queue with a payer tool, and a plan can't run utilization management with a provider agent. Identify your side first, then compare within it.

How much does AI prior authorization software cost?

Pricing models vary widely. Honey Health charges per completed task (roughly $1.50–$2 per PA), which ties cost to volume; Tandem's Forus is free to providers and funded by pharma; others price by subscription or custom enterprise contracts. Normalize every quote to cost per completed authorization at your volume, then compare it against your loaded staff cost — at meaningful PA volume the labor math usually dwarfs the software.

Do AI prior authorization tools work with my EHR?

It depends on the approach. API-based tools require an integration per EHR and a project to match. Agentic browser automation, like Honey Health's, works inside the EHR and payer portals your staff already use — across 20+ EHRs — without an integration, which is why it can go live in two to three weeks. Ask any vendor whether it connects to your specific EHR and your top payers before you shortlist it.

AI prior authorization isn't one product — it's two, on opposite sides of the same request, plus a field of specialists in between. Figure out whether you're buying for the practice or the plan, match the tool to your PA mix and EHR, and favor the ones that submit and follow up rather than just assist. For a group that wants the whole practice-side workflow handled across medication, imaging, procedure, and specialty-drug PA, inside the EHR you already run, an agentic option like Honey Health is the place to start.