Best AI Receptionists for Medical Offices of 2026

We compared eight AI and live receptionists on what their pricing pages, product pages, BAA pages and review listings say as of October 2026. Scores follow our published rubric.

How to choose

Clinic phones jam at 8 a.m. with sick visits, refills and results calls. Judge each tool on these points:

• BAA and data training. Every patient call carries protected health information. The vendor signs a BAA, and you want to know whether it trains models on your calls.
• EHR booking. Booking into athenaOne or eClinicalWorks is different from a calendar request your staff retypes.
• Clinical limits. The AI books and routes. It never gives medical advice.
• Refills, intake and recall. These are the high volume, low judgment calls that free up staff the most.
• Go live time. Hello Patient takes about 6 to 8 weeks. General tools take minutes to days.
• Languages. Hello Patient covers English and Spanish, Upfirst 35+, My AI Front Desk 20+.

HIPAA, BAAs and training on patient data

Under HIPAA, a vendor that handles patient information for you is a business associate, and the contract must set out how it uses and protects that data (45 CFR 164.504(e)). For an AI receptionist, that covers call audio, transcripts, texts and anything written into your EHR.

Tool	HIPAA or BAA, as listed
Hello Patient	SOC 2 Type 2, BAAs, no training on patient data
Weave	Built for HIPAA, per Weave
Nextiva XBert	Lists HIPAA compliant
Ruby	HIPAA add on, price not published
AnswerConnect	HIPAA option in its portal
Upfirst	BAA on custom plans above 600 calls
Dialpad	Not stated in its record; ask for a BAA
My AI Front Desk	Not stated; ask for a BAA

A BAA is the floor. Also ask in writing whether call data trains models, how long recordings are kept and how you delete them. Hello Patient is the only record that answers the training question on its own pages.

EHR integrations

Hello Patient is the only record that names medical EHRs: athenaOne, eClinicalWorks, ModMed, NextGen, Veradigm and AdvancedMD, plus FHIR and HL7 for other systems. It also lists Salesforce, HubSpot and Zenoti. For a practice on one of those EHRs, it can book into real provider schedules and push intake into the chart.

For therapy and behavioral health, My AI Front Desk lists SimplePractice, TherapyNotes and Jane App. Weave's direct booking names dental systems only. Nextiva, Upfirst and Dialpad book into general calendars such as Google Calendar or Calendly, so staff confirm each request in the EHR. Fine for a small office, a source of double booking at 800 calls a month.

Clinical triage limits

This is the line that matters most. An AI receptionist must not give medical advice, interpret symptoms or tell a patient whether to come in. Write a fixed script with your clinical lead:

• Emergency words such as chest pain, trouble breathing, stroke signs, severe bleeding or thoughts of self harm: tell the caller to hang up and call 911 (or 988 for a mental health crisis), then alert staff.
• Any symptom question: route to the nurse line or take a message for a callback, flagged by urgency.
• Results calls: never read results; take a message for the care team.

Hello Patient routes clinical calls to staff with context. For other tools, confirm the after hours transfer reaches your on call provider. AnswerConnect and Ruby put a live person on every call if your providers want a human screen overnight.

Refills, intake and recall

Refills are often the biggest share of calls. The AI collects patient name, date of birth, medication, dose and pharmacy, then drops the request into your queue. It never approves one. Hello Patient lists refill requests as a built in task.

New patient intake is the most valuable call: capture demographics, insurance carrier and member ID, reason for visit and referring provider.

Recall is outbound (physicals, overdue screenings, chronic care follow ups), and Hello Patient lists it across voice and SMS. Get consent for texts first.

What it costs

Two volumes: a 2 provider clinic taking 800 calls a month at 3 minutes (2,400 minutes), and a solo therapist taking 100 calls (300 minutes). Each cell is the cheapest published plan on monthly billing that covers the volume, with overage at the listed rate.

Tool	2 provider clinic: 800 calls	Solo therapist: 100 calls
Nextiva XBert	$792	$99
My AI Front Desk	$639	$114
Upfirst	Custom quote (BAA plans)	$69.95 (no BAA)
Ruby (live only)	Quote (above 500 minute plan)	$1,725
Hello Patient	Quote only	Quote only
Weave	Quote only (plans from $199)	Quote only
AnswerConnect	Quote only	Quote only
Dialpad	Quote only	Quote only

The math:

• Nextiva: $99 for 100 interactions plus 700 at $0.99 for the clinic.
• My AI Front Desk: 200 minutes plus about 40 from the credit pool, then $0.25 a minute: 2,160 extra minutes is $540, and 60 extra is $15.
• Upfirst: at 800 calls the published rate is Scale $299 plus 200 at $0.70, or $439, but a BAA requires a custom plan above 600 calls. At 100 calls, Premium $59.95 plus 10 at $1.00, with no BAA.
• Ruby: 300 minutes is over the $720 plan's 200 and overage is not published, so the next plan is 500 minutes for $1,725.

A full time receptionist at the BLS median of $18.27 an hour costs about $3,167 a month in wages, before benefits, and a busy clinic often staffs two or three on phones. Run your own volume in the cost calculator, track rates in the AI Price Index, and see the full breakdown in AI receptionist cost.

Red flags

• No signed BAA. Do not route patient calls to a vendor that will not sign one.
• Silence on training. If a vendor will not say whether patient calls train its models, assume they might.
• Any script that answers clinical questions. Symptoms go to staff or 911.
• "EHR integration" without your EHR named. Ask for a demo on your system.
• Long implementations sold as instant. Hello Patient states 6 to 8 weeks; plan for it.
• Thin review records. Hello Patient and Upfirst have no listing with 10+ reviews. Ask for references.

How we picked

We used published facts only: pricing pages, product pages, BAA and FAQ pages and review listings, as of October 2026. We did not place test calls, so we do not grade voice quality. Factor weights are value 25%, features 25%, trust 20%, ease 15% and integrations 15%, as described on how we score. Order is editorial, set on fit for medical offices: BAAs and data training terms, EHR integrations, clinical routing and published pricing at clinic volume.

Arini was left out because it serves dental practices only; see AI receptionists for dental offices. Smith.ai, Rosie, Goodcall and Dialzara were left out because their records list no BAA, HIPAA terms or healthcare software.