10 Best AI Voice Agents for Healthcare in 2026 (Tested and Ranked)

I compared 10 AI voice agents for healthcare across the calls that fill a clinic's phone lines: appointment scheduling, reminders, prescription refills, insurance questions, patient intake, and after-hours triage routing.

For each platform I worked from official documentation, pricing pages, compliance pages, and third-party reviews, focusing on published latency, HIPAA and BAA terms, EHR integration depth, language coverage, and the all-in cost per minute.

Grand View Research puts the healthcare voice AI market at $468 million in 2024, heading to $3.18 billion by 2030 at a 37.79% CAGR, so the vendor list is long and it changes every quarter.

If you run patient access, the real problem is not a weak front desk.

It is that scheduling, refill, and billing calls arrive faster than any front desk can answer, so hold times climb and a share of callers hang up and rebook with the practice down the road.

This article ranks the 10 platforms, compares them on compliance and price, and gives an honest limitation for every tool, including the one I rank first.

TL;DR: Best AI Voice Agents for Healthcare in 2026

1. Retell AI: Best overall for production healthcare voice agents
2. Assort Health: Best managed, end-to-end patient access
3. Hyro: Best for large Epic-based health systems
4. Infinitus: Best for payer and revenue-cycle calls
5. PolyAI: Best for natural-sounding enterprise patient access
6. Telnyx: Best single-vendor voice stack on a carrier network
7. Vapi: Best for developer-built custom pipelines
8. Bland AI: Best for high-volume outbound campaigns
9. Synthflow: Best no-code option for smaller teams
10. Thoughtly: Best for the fastest no-code inbound setup

How we tested and ranked the AI voice agents

We scored each platform the way a practice manager or health-system IT lead would during a real evaluation, not on demo polish.

• Latency and turn-taking: how natural the back-and-forth feels on a live call. Above roughly 800ms, conversations start to feel broken.
• HIPAA and security posture: whether the vendor signs a BAA, how it handles PII redaction and data retention, and which audits it holds (SOC 2, ISO 27001).
• EHR and scheduling integration: whether the agent can read availability and write back a booking or record update, not just answer questions.
• Language coverage: support for the languages your patient population actually speaks.
• Deployment effort: how quickly a team can move from a test agent to a production line, and whether it needs engineers.
• Pricing transparency: the all-in cost per minute or per resolved call, not the advertised base rate.

Retell is listed first because it scored highest on that combined bar, but the competitor reviews below are written to be accurate and fair. Where a rival wins for a use case, we say so.

What to require from any healthcare voice AI vendor

Before you compare features, use this short checklist to disqualify anything that cannot safely handle patient calls.

• A signed BAA before any PHI. A vendor saying it is HIPAA compliant is not enough. Under the HIPAA rules for covered entities and business associates, you need a signed Business Associate Agreement in place before the agent touches protected health information. For depth on compliance specifics, see our guide to HIPAA-compliant AI voice agents for healthcare and clinics.
• EHR and scheduling integration. The agent should connect to your EHR or practice management system, ideally over the HL7 FHIR standard, so it can check provider availability and write a booking back into the record.
• Multilingual support. If a meaningful share of your patients speak a language other than English, confirm the agent handles it well, not just in a demo.
• Human escalation. The agent must transfer to a person on demand and on urgent language, carrying the call context so the patient does not repeat themselves.
• Data controls. Look for PII redaction, configurable retention, and encryption in transit and at rest.
• All-in pricing. Ask for the total cost per minute once the language model, voice, and telephony are included, and how it behaves at your call volume.

The 10 best AI voice agents for healthcare, compared

A quick side-by-side before the full reviews. Prices are starting points and change often, so confirm current figures during your evaluation.

The 10 best AI voice agents for healthcare, ranked

1. Retell AI: best overall for production healthcare deployments

Retell AI is the strongest pick for teams that want to run a production healthcare voice agent without an enterprise contract or a five-vendor billing stack.

It is a platform for building, testing, and deploying AI voice agents that answer and place patient calls.

Callers speak naturally instead of pressing through a menu, and the agent can book appointments, take refill requests, answer common questions, and do a warm transfer to a person when a call needs one.

On the healthcare specifics, Retell is HIPAA compliant with a self-service BAA on all paid plans that usually countersigns within a business day, plus SOC 2 Type I and II, GDPR, and PII redaction at about a penny a minute.

It runs at roughly 600ms latency, supports 31+ languages, and connects to your EHR or scheduling system through custom functions and webhooks.

It sits on top of the phone setup you already run, whether that is its built-in carrier or a provider you bring. See the healthcare industry page for use-case detail.

For proof at scale, Retell processes more than 30 million calls a month for over 3,000 businesses, including Anker and Lenovo.

Pine Park Health, a senior care provider using Retell for patient scheduling, reported a 38% increase in scheduling NPS after deploying it. Results vary by how the flow is built.

What does it do? A platform to build, deploy, and monitor AI voice agents that answer and place patient calls across scheduling, refills, intake, and triage routing. Who is it for? Clinics, medical groups, and health systems that want a production-grade patient-call agent with HIPAA included and pay-as-you-go pricing.

Pricing $0.07/min pay-as-you-go with $10 in free credit and no platform fee. The base rate covers the voice engine; the language model and telephony are billed on top, so model the all-in rate for your configuration.

Pros

• Published ~600ms latency with proprietary turn-taking, at the low end of the platforms compared here
• HIPAA with a self-service BAA on every paid plan, plus SOC 2 Type II, GDPR, and PII redaction, without an enterprise contract
• Both a no-code builder and full API with custom LLM support, so non-technical staff and engineers work on the same agent
• 20 free concurrent calls on every account, scaling to the 30M+ calls a month the platform already handles
• Customer proof in senior care: Pine Park Health reported a 38% increase in scheduling NPS

2. Assort Health: best managed patient-access agent

Assort Health is the strongest done-for-you option if you want healthcare workflows built and maintained for you rather than assembled in-house.

It is a healthcare-native voice AI trained on a large patient-interaction dataset, and it handles scheduling, intake, triage, referrals, and follow-up across many specialties. Its integration story is deep, with a notably strong athenahealth connection.

Pros

• Purpose-built for healthcare across 22-plus specialties, with protocol-aware scheduling and intake
• Deep EHR integration, with a strong athenahealth connection for booking write-back

• Managed delivery, so a lean team does not own the build and maintenanceCons

• Enterprise, managed model with pricing that is not public, so cost modeling takes a sales cycle

• Not self-serve, which slows a fast pilot
• More capability than a solo or small practice usually needsPricing Enterprise, custom quote. Contact sales for pricing.

3. Hyro: best for large Epic-based health systems

Hyro is a healthcare-dedicated conversational AI for voice, chat, and SMS, built specifically for health-system call centers and patient access.

It leans on a knowledge-graph approach and deep Epic, Cerner, and athenahealth integrations, and it counts major systems among its customers, including Intermountain, Baptist Health, and Montefiore. Baptist Health reported a 64% resolution rate for automated scheduling and identification, with close to $1 million in savings within three months, though those figures are vendor-reported and results vary.

Pros

• Healthcare-only focus with deep Epic and Cerner integration and knowledge-graph accuracy
• Named health-system deployments, including Intermountain and Baptist Health

• Voice, chat, and SMS under one patient-access platformCons

• Enterprise pricing, reported from around $10,000 a month, prices out small and mid-size practices

• Primarily inbound, with limited outbound reminder and recall capability
• Language coverage centered on English and SpanishPricing Enterprise, quote-based, reported to start around $10,000 per month. Contact sales for pricing.

4. Infinitus: best for payer and revenue-cycle calls

Infinitus stands out for the payer side of healthcare phone work, not just patient access.

Its voice agents place and take calls across patients, providers, and payers, and they can navigate payer IVR menus, wait on hold, verify benefits, check claim status, and write structured data back to your systems.

It holds HIPAA with a BAA, SOC 2 Type II, and ISO 27001, and integrates with EHRs such as Epic and Cerner over FHIR and HL7.

Pros

• Automates payer calls end to end, including IVR navigation and structured benefit data capture
• HIPAA, SOC 2 Type II, and ISO 27001, with FHIR and HL7 EHR integration

• Handles patient, provider, and payer calls in one platformCons

• Weighted toward revenue-cycle and payer work rather than front-desk patient scheduling

• Enterprise pricing and onboarding, not a quick self-serve start
• More than a small practice needs for an inbound linePricing Enterprise, custom quote. Contact sales for pricing.

5. PolyAI: best for natural-sounding enterprise patient access

PolyAI builds voice-first agents known for how human they sound, which matters when patient experience is the priority.

It handles scheduling, triage, FAQs, routing, and front-end billing, and it sits alongside your existing contact-center platform rather than replacing it. It supports patient access in 45+ languages with Epic, MyChart, and SMART on FHIR connectivity, and it holds HIPAA, SOC 2, ISO 27001, and PCI.

Pros

• Voice naturalness that holds up on longer, multi-turn patient calls
• Patient access in 45-plus languages with Epic, MyChart, and SMART on FHIR connectivity

• HIPAA, SOC 2, ISO 27001, and PCI, and it runs alongside your current CCaaSCons

• Cloud-only deployment, which needs a data-residency review in strict environments

• Payer and revenue-cycle automation is not a core strength
• Enterprise pricing with a longer sales and onboarding cyclePricing Enterprise, custom quote. Contact sales for pricing

6. Telnyx: best single-vendor voice stack

Telnyx is the pick if you want one vendor for speech, model, and telephony under a single BAA.

Because it owns the carrier network, it runs the whole voice pipeline on its own infrastructure, which it reports delivers sub-500ms latency, and it consolidates what is often three vendors into one agreement across many countries.

Pros

• Owns speech, model, and telephony on one carrier network with reported sub-500ms latency
• Single BAA across the full stack, which simplifies compliance review

• Global telephony footprint for multi-region operationsCons

• Infrastructure rather than a finished healthcare app, so you build the workflows

• Little healthcare-specific tooling compared with vertical vendors
• Requires engineering to reach a production patient-access agentPricing Usage-based. Verify current per-minute rates on the vendor's pricing page.

7. Vapi: best for developer-built custom pipelines

Vapi is a developer-first platform for teams that want to assemble their own voice stack piece by piece.

It gives you API-level control to combine your choice of speech-to-text, language model, text-to-speech, and telephony, with bring-your-own-provider options for flexibility.

Pros

• Component-level control over speech, model, voice, and telephony with bring-your-own providers
• Full API and SDK suited to backend engineering teams

• $10 free credits to prototype before committingCons

• HIPAA is a paid add-on rather than included, reported around $1,000 or more per month

• Effective cost climbs to roughly $0.13 to $0.31 per minute once every provider is billed
• Requires engineering to build and maintain, with community support on lower tiersPricing $0.05/min platform fee plus separately billed speech, model, voice, and telephony. Confirm the HIPAA add-on cost before deploying patient calls.

8. Bland AI: best for high-volume outbound

Bland AI is built for outbound calling at scale, such as reminders, recalls, and outreach campaigns.

It is developer-controlled and focused on human-like conversation across very large call volumes, and it offers HIPAA on its business tiers.

Pros

• Built for outbound volume, handling large reminder and recall campaigns
• HIPAA available on business tiers for compliant outbound programs

• Deep control over call logic, retries, and voicemail handlingCons

• Reported latency around 800ms, noticeable on longer patient conversations

• Outbound-leaning and developer-oriented, so inbound front-desk use needs more work
• The Scale plan carries a monthly fee on top of the per-minute ratePricing Scale plan around $499 per month plus roughly $0.11 per minute. Verify current tiers before committing.

9. Synthflow: best no-code option for smaller teams

Synthflow is a fast no-code builder for teams that want to launch a patient-call agent in hours rather than weeks.

It has a visual builder, native CRM connections to HubSpot, GoHighLevel, and Salesforce, and templates for scheduling and lead qualification. Its subscription pricing is easy to budget at low volume.

Pros

• No-code visual builder that reaches a live agent in hours
• Native CRM integrations with HubSpot, GoHighLevel, and Salesforce

• Subscription pricing that is easy to budget at low volumeCons

• HIPAA is limited to the enterprise tier, so PHI workflows need the top plan

• Real all-in cost lands around $0.15 to $0.24 per minute once providers are added
• Latency and cost can degrade past roughly 10,000 calls a month

Pricing: Synthflow has transitioned to a pay-as-you-go model with no fixed monthly fee. The voice engine costs $0.09/min, with LLM and telephony adding $0.02 to $0.05/min each. Most setups land between $0.15 and $0.24 per minute all-in. The PAYG plan includes 5 concurrent calls, expandable at $20 per slot per month.

10. Thoughtly: best for the fastest no-code inbound setup

Thoughtly is the quickest way to get a no-code inbound agent live, with independent tests confirming its claim of about 20 minutes to a first live call.

It offers a visual agent builder for inbound lead conversion, appointment setting, and intake across voice, SMS, and email, with CRM connections built in.

Pros

• Fastest setup in this comparison, around 20 minutes to a first live call
• Visual editor with built-in CRM connections for inbound scheduling and intake

• Covers voice, SMS, and email in one agentCons

• Built for simple flows, so complex clinical triage and deep branching are limited

• HIPAA coverage depends on the plan, so verify the BAA before sending PHI
• Less suited to high-volume or multi-location health systemsPricing From about $30 per month for 300 minutes, or roughly $0.09 per minute pay-as-you-go.

How to choose by organization size

The right tool depends less on a feature checklist than on your size and how much you want to build.

• Solo and small practices (1 to 5 providers): prioritize usage-based pricing, a self-serve BAA, and fast setup. Retell AI, Thoughtly, and Synthflow on its HIPAA tier fit here.
• Clinic groups and mid-size organizations: Retell AI gives you build-your-own control with compliance included, while Assort Health or Hyro suit teams that would rather buy managed workflows and have the budget.
• Health systems (10+ locations): the enterprise vertical vendors earn their keep. Hyro and PolyAI for patient access, Assort Health for managed scheduling, and Infinitus for revenue-cycle calls. Retell also serves systems that want a build with dedicated enterprise support.

Implementation basics: EHR, phone numbers, and escalation

Three things decide whether a healthcare voice agent reduces work or creates it.

• EHR integration: confirm the agent can write back, not just read. Booking, rescheduling, and record updates should flow into your EHR or practice management system, over FHIR or HL7 or custom functions. Ask about your specific system and version.
• Phone numbers: you can usually port your existing numbers or route calls over SIP, so the agent sits on top of your current phone system instead of forcing a switch.
• Escalation paths: define rules up front. Urgent language like chest pain should trigger an immediate transfer to your on-call line, and every handoff should carry call context so the patient does not repeat themselves. Check the pricing model against your expected volume before you commit.

Frequently asked questions

Are AI voice agents for healthcare HIPAA compliant?

They can be, but only with a signed BAA and the right configuration. A vendor marketing itself as HIPAA compliant is not enough on its own. Confirm the BAA covers call recordings, transcripts, and any subprocessors, and turn on PII redaction and retention controls before sending patient data.

Can an AI voice agent book into Epic or athenahealth?

Yes, when it integrates with your EHR or scheduling system, usually over FHIR or HL7 or through custom functions. Ask each vendor to confirm write-back for your specific system and version, since read-only access adds a manual step rather than removing one.

What does an AI voice agent for healthcare cost?

It ranges widely. Usage-based platforms start around $0.07 per minute for the voice engine, with a higher all-in rate once the language model and telephony are added. Healthcare-native enterprise vendors quote custom contracts per system. Model the total cost per resolved call, not the headline rate.

Can an AI voice agent replace front-desk staff?

No. It handles routine, repeatable calls like scheduling, refills, and FAQs, and it routes or transfers everything else. Complex, sensitive, or clinical calls still need a person, so a good system makes reaching one easy.

Do patients accept talking to an AI?

Many do for routine tasks, especially when the wait is shorter than a hold queue. The agent should identify itself, sound natural, and offer a human at any point in the call.

What languages do healthcare voice agents support?

It varies by platform. Some cover 30 to 45 or more languages, while others focus on English and Spanish. Confirm coverage for the languages your patients actually speak before you choose.

Build a HIPAA-compliant voice agent for your practice.

Retell answers patient calls, books appointments, and transfers the urgent ones, with a self-serve BAA and pricing that scales with your call volume. Build a voice agent and start free, or book a demo for health systems.