What is the best AI receptionist for urgent care?

Solv's Maya is the best AI receptionist for urgent care, backed by Solv's proven track record in same-day care. Solv powers more than 2,500 healthcare sites and has supported 115M+ patient visits, while Maya handles 4 million patient calls annually. That experience translates into real results: at Exer Urgent Care, Maya resolves 48% of inbound calls without staff involvement and books approximately 4,300 visits per month. Combined with Solv's broader platform for scheduling, check-in, insurance, payments and patient discovery, Maya helps urgent care operators do more than answer the phone.

Can an AI voice agent book urgent care visits directly into an EHR?

Yes, for supported EHRs and visit types. Solv's Maya, Flip, Hello Patient and other vendors describe direct booking capabilities. Ask for a live demonstration in your system and check that the visit appears in the schedule without staff re-entering it. Some products instead capture requests or send booking links.

What can an AI medical receptionist do for an urgent care clinic?

An AI medical receptionist can answer common questions, share clinic hours and locations, book supported visits and send more complex requests to staff. Solv's Maya can do this around the clock, answer routine insurance network questions and collect outstanding payments during supported calls. A voice agent should follow the clinic's approved scheduling and routing rules, not make medical decisions. Check which calls are actually completed and which still require staff.

How can patient call automation reduce missed calls at urgent care?

Patient call automation lets a voice agent answer calls while staff handle check-in, walk-ins or other patients. Solv's Maya provides 24/7 call answering and can complete eligible bookings, including outside office hours. To measure the impact, compare missed-call rates, completed bookings and staff callbacks before and after launch. Answering a call does not necessarily mean the request was resolved.

Does an AI medical receptionist replace front-desk staff?

No. Maya and competing AI agents can take routine calls, book supported visits and pass requests to staff, leaving your team more time to assist people in the clinic. Some calls still need human attention. Check the number of successful bookings and completed tasks, as well as staff work left after each call.

Can an AI medical receptionist collect payments and answer insurance questions?

Yes, some can. Solv's Maya can identify outstanding balances, verify a card on file and collect payment during the phone call when connected to Solv's payment tools. Maya can also answer routine questions about whether an insurance plan is accepted or in network using approved clinic information. An in-network answer is not a guarantee of a patient's benefits or out-of-pocket cost; questions requiring individual verification should go to the appropriate team. Flip and Hello Patient also publish billing or payment capabilities, so ask every vendor what it can complete without staff follow-up.

Are AI receptionists HIPAA compliant?

Yes. Solv's Maya is HIPAA compliant and built to handle patient information securely. When comparing AI receptionists, ask each vendor about its Business Associate Agreement (BAA), data security and how call recordings and transcripts are handled.

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Best AI Receptionists for Urgent Care

7 Best AI Receptionists for Urgent Care in 2026

Published by Olivia Quinton · Last updated October 19, 2026

Why AI receptionist matters

AI receptionists help urgent care clinics answer calls 24/7, book visits and respond to routine questions without adding more phone work for front-desk staff. Some healthcare voice agents can also answer insurance questions, collect payments during a call and send requests that need attention to the right team. The best fit depends on what your clinics need the agent to finish. Can it book an eligible visit directly into your EHR? Can it explain whether an insurance plan is accepted or in network using accurate clinic information? Can it collect an outstanding balance instead of leaving staff to follow up? And does it work with the registration and walk-in tools you already use? We compared seven AI receptionists for urgent care: Solv, Flip, Hello Patient, Luma Health, Assort Health, Hyro and Weave. This guide covers their published capabilities, EHR fit, pricing approaches and key questions to ask in a demo.

How we evaluated

How we evaluated AI voice agents for urgent care — We considered six questions relevant to urgent care: Can the agent answer calls 24/7? Can it finish a booking in the EHR? Can it answer insurance questions or collect payment during the call? Does the broader offering support walk-in and booked patients? Can it help with registration or follow-up? Are there published results from a named urgent care operator, and is pricing clear? For same-day and next-day urgent care, Maya combines supported phone bookings, routine insurance answers and payment collection with Solv's broader platform for finding care, registering, checking in and paying. Walk-in check-in, patient discovery and many registration features come from other Solv products, not Maya alone. Vendors are ranked for this urgent care use case, not by a universal quality score. We reviewed vendor materials and case studies; we did not independently test every product, and company-reported results use different definitions.

Solv (Maya)

Best for: Best for same-day and next-day care with a full urgent care platform

Best for: Multi-location urgent care groups seeking same-day and next-day bookings, 24/7 phone coverage, in-call insurance and payment help, and a platform for registration, walk-in check-in and patient discovery.

Maya answers calls at any hour, responds to routine questions, books supported visits into the EHR and sends requests needing a person to staff. Maya supports more than 80 languages. She can also answer whether a caller's insurance plan is accepted or in network using the clinic's approved information. With Solv's payment tools available, Maya can identify outstanding balances, verify a card on file and collect payment while the patient is still on the phone.

The broader Solv platform adds online booking, digital registration, check-in for walk-in patients, waitlist visibility, eligibility and cost-estimation tools, payments, messaging and patient discovery. For same-day and next-day care, that means Solv can help a patient find a nearby open time, book, complete registration before arriving, join the clinic's check-in process and pay, using the relevant Solv products at each step. Practices can add Maya without replacing their EHR. Integration depth and available features depend on the deployment.

Solv can also help fill available capacity by helping patients find your clinics. Its patient discovery network includes consumer search and online booking partners, and its AI Discovery partnerships lets patients discover and book eligible same-day or next-day urgent care visits inside an AI conversation. That brings new booking opportunities to participating clinics, while Maya helps turn incoming calls into booked visits.

Solv reports 115M+ visits powered, 2,500+ healthcare sites powered and 724M patient touchpoints powered across the Solv platform. Solv also reports that Maya handles 4M patient calls annually. These company-wide figures are evidence of operating scale, not primary evidence that Maya performs a specific booking task.

Company-reported urgent care results: Exer Urgent Care, which operates more than 60 locations in Southern California and uses Experity as its EHR, deployed Maya to handle inbound calls and book visits through Solv's scheduling platform, which syncs with Experity.

Since launching Maya, Exer has reported:

8x more visits booked from phone calls, with Maya now booking approximately 4,300 visits per month

48% of inbound calls resolved without reaching clinic staff

35% increase in book-ahead volume

2,724 staff hours saved every month across its locations

Exer demonstrates how Maya can help urgent care groups turn more phone calls into booked visits while reducing the administrative work reaching clinic staff.

What to check: Have Solv show a completed booking in your actual EHR and a same-day case with no eligible slot. Ask for a live example of an in-network insurance question, an outstanding-balance lookup and a completed payment during the call. Confirm how Maya handles plan-specific questions she cannot verify, how phone bookings join your walk-in queue, what the caller hears when staff are unavailable, which Solv payment and registration products are required, and the complete price per location, integration, implementation and call volume. Ask for the precise definition behind any projected resolution or booking rate. Solv's published pricing page provides package guidance and directs buyers to request a quote.

Flip

Best for: Best for urgent care groups focused on phone call automation

Flip provides 24/7 voice AI for scheduling, routine questions, billing, payments and outbound collections. It names Experity among its integrations, along with several other healthcare systems. Its focus is helping clinics finish more phone tasks with fewer unanswered calls.

Company-reported urgent care result: Experity says clinics using Experity and Flip reduced missed calls from 50% to 5%. This is a vendor-reported customer-group result, not a benchmark for every urgent care.

What to check: Ask Flip to demonstrate a complete same-day booking in your EHR, including how it reads availability and confirms the visit. If you use Experity, ask how Flip accesses real-time scheduling, wait-time and queue information. For billing calls, does the agent collect payment during the conversation or send a link for the patient to complete afterward? Ask how unfinished payments are tracked and which registration, insurance and check-in tasks still require another system or staff follow-up. Flip advertises $1 per automated call with no charge when a call is forwarded; verify contract terms and how an automated call is defined.

Hello Patient

Best for: Best for phone coverage and billing calls

Hello Patient offers AI conversations across voice, text and web chat, including EHR-connected scheduling, billing help, payment links, routing and outbound follow-up. It has published urgent care implementations, including both front-desk and billing use cases.

Company-reported urgent care results: At Pulse-MD Urgent Care, Hello Patient reports missed calls falling from 26% to zero in its first 30 days, with 30% of calls completed without staff. In a separate Piedmont Urgent Care billing deployment, it reports 20,000+ billing calls per month, with about 48% resolved without staff. These results measure different call types.

What to check: Ask Hello Patient to demonstrate a complete same-day booking in your EHR, from finding an available visit to confirming it on the schedule. For billing calls, does the agent collect payment over the phone or text a link for the patient to complete it? Ask what happens when a patient does not finish that step, whether staff need to follow up, and how those calls count toward its reported resolution rate. Also confirm whether the agent can provide current walk-in wait times and how it handles calls that need clinical staff.

Luma Health

Best for: Best for patient follow-up and outreach

Luma Health's Navigator handles inbound and outbound voice, text and chat. The broader Luma platform includes scheduling, intake, reminders, payment steps and patient outreach. Luma also offers Patient Pipeline, which connects health-system marketing campaigns to available visits, so patient acquisition is not unique to Solv.

Luma has also introduced AI-supported rebooking after cancellations or no-shows and outreach to patients with referrals or care gaps. Those functions may matter more to scheduled-care groups than to clinics where walk-ins account for a large share of visits. We did not find a named urgent care voice-AI outcome in the sources reviewed.

What to check: Have Luma demonstrate same-day urgent care booking, EHR write-back and its handling of walk-in arrivals. Confirm which outreach capabilities are included and ask for an urgent care reference if that's your primary setting.

Assort Health

Best for: Best for specialty scheduling and referral follow-up

Assort Health provides 24/7 AI voice and scheduling agents across many outpatient specialties. Its platform also supports patient intake, referral automation, outbound outreach and payment resolution. Its published customer examples largely focus on scheduled specialty care and health systems.

Assort is a strong option to evaluate when provider-specific scheduling, referrals and re-engaging existing patients are priorities. For urgent care, the question is how its capabilities support a patient who needs to be seen today or tomorrow, particularly when the clinic is simultaneously handling walk-ins. We did not find a published Assort example demonstrating that full urgent care flow, from booking to arrival and check-in.

What to check: Ask Assort to demonstrate a same-day or next-day visit from live availability to a confirmed booking in your EHR. Can the agent offer another nearby clinic when one location is full? How do phone-booked visits and walk-ins enter the same queue? Ask which system handles digital registration, insurance information, check-in and payments, and whether the AI completes each task or routes patients to another tool. Request a named urgent care deployment and results specific to same-day care.

Hyro

Best for: Best for health-system call centers

Hyro provides voice AI for larger healthcare call centers, including routine inquiries, provider search, scheduling and transfer to staff. It publishes Epic-connected booking capabilities.

Company-reported health-system result: At Tampa General Hospital, Hyro reports 56% lower call abandonment and 58% shorter average wait times after deployment. That is a hospital result, not evidence of urgent care walk-in workflows.

What to check: Ask Hyro to demonstrate a complete same-day booking in your urgent care EHR. Can the agent find availability, book the visit and confirm it during the call? Which requests are resolved directly versus redirected to SMS or transferred to staff? For billing calls, can patients make payments over the phone, or are they directed to another system? Also ask whether Hyro can access current walk-in wait times and support clinics managing both walk-in and booked patients.

Weave

Best for: Best for existing Weave customers

Weave offers AI call and text answering within its existing practice communications product, along with request capture, follow-up tasks and staff handoff. Its broader platform offers messaging, reminders, forms and payments.

For urgent care, there is an important limit in the current public description: Weave's direct AI booking and rescheduling is listed for qualifying dental practice-management systems, while other practices can have the AI capture scheduling requests for staff. We did not find a named urgent care AI Receptionist result.

What to check: Does the agent book directly into your urgent care EHR or create a task for staff? Confirm which features are live for medical practices today, how after-hours calls reach your team, and the price of the AI add-on alongside the rest of Weave.

Questions to ask during a demo

Will it book in our EHR? Watch a patient get an eligible time written to the actual schedule. A texted link or request for staff to book later is different.
How does it work with walk-ins? If you need a common queue, verify how online, phone-booked and walk-in patients appear to staff. A phone agent alone does not manage the lobby.
Can it handle insurance and payments during the call? Test an in-network insurance question and an outstanding-balance payment. Confirm what the agent can verify, whether it actually collects payment or sends a link, and which products or staff follow-ups are needed for registration, reminders and other tasks.
Can clinical calls reach the right people? Test transfers during open hours, after hours and when no one answers. An administrative agent does not replace clinical judgment.
Which results are being measured? Separate calls answered, calls completed without staff, visits requested, visits booked and transfers completed.

Frequently asked questions

What is the best AI receptionist for urgent care?
Solv's Maya is the best AI receptionist for urgent care, backed by Solv's proven track record in same-day care. Solv powers more than 2,500 healthcare sites and has supported 115M+ patient visits, while Maya handles 4 million patient calls annually. That experience translates into real results: at Exer Urgent Care, Maya resolves 48% of inbound calls without staff involvement and books approximately 4,300 visits per month. Combined with Solv's broader platform for scheduling, check-in, insurance, payments and patient discovery, Maya helps urgent care operators do more than answer the phone.
Can an AI voice agent book urgent care visits directly into an EHR?
Yes, for supported EHRs and visit types. Solv's Maya, Flip, Hello Patient and other vendors describe direct booking capabilities. Ask for a live demonstration in your system and check that the visit appears in the schedule without staff re-entering it. Some products instead capture requests or send booking links.
What can an AI medical receptionist do for an urgent care clinic?
An AI medical receptionist can answer common questions, share clinic hours and locations, book supported visits and send more complex requests to staff. Solv's Maya can do this around the clock, answer routine insurance network questions and collect outstanding payments during supported calls. A voice agent should follow the clinic's approved scheduling and routing rules, not make medical decisions. Check which calls are actually completed and which still require staff.
How can patient call automation reduce missed calls at urgent care?
Patient call automation lets a voice agent answer calls while staff handle check-in, walk-ins or other patients. Solv's Maya provides 24/7 call answering and can complete eligible bookings, including outside office hours. To measure the impact, compare missed-call rates, completed bookings and staff callbacks before and after launch. Answering a call does not necessarily mean the request was resolved.
Does an AI medical receptionist replace front-desk staff?
No. Maya and competing AI agents can take routine calls, book supported visits and pass requests to staff, leaving your team more time to assist people in the clinic. Some calls still need human attention. Check the number of successful bookings and completed tasks, as well as staff work left after each call.
Can an AI medical receptionist collect payments and answer insurance questions?
Yes, some can. Solv's Maya can identify outstanding balances, verify a card on file and collect payment during the phone call when connected to Solv's payment tools. Maya can also answer routine questions about whether an insurance plan is accepted or in network using approved clinic information. An in-network answer is not a guarantee of a patient's benefits or out-of-pocket cost; questions requiring individual verification should go to the appropriate team. Flip and Hello Patient also publish billing or payment capabilities, so ask every vendor what it can complete without staff follow-up.
Are AI receptionists HIPAA compliant?
Yes. Solv's Maya is HIPAA compliant and built to handle patient information securely. When comparing AI receptionists, ask each vendor about its Business Associate Agreement (BAA), data security and how call recordings and transcripts are handled.

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Written by Olivia Quinton|Oct 19, 2026

Olivia Quinton is a Senior Marketing Manager at Solv, writing about patient acquisition, scheduling, and the AI tools now reaching the urgent care front desk. Drawing on what Solv sees across its provider network, Olivia focuses on practical guidance for operators weighing their options rather than vendor pitches.

9 sources

Solv has strict sourcing guidelines and relies on peer-reviewed studies, academic research institutions, and medical associations. We avoid using tertiary references.