The 6:30 PM call
The marketing worked. The reviews did their job. A person in pain picked up the phone and dialed your number. Now the whole thing comes down to a question your website never had to answer: who picks up?
6:32 PM · Incoming callLower-back pain · found you on Google tonight
Outcome 1 · Voicemail
It rings out
Maybe they leave a message. Just as likely, they go back to Google and call the next practice on the list.
Outcome 2 · The phone goes home
Your team answers from the couch
The call is saved. The evening is not. Somebody on your team is now working after hours, every day.
Outcome 3 · AI receptionist
Answered in two rings
Questions get answers. If the request fits your rules, the appointment goes straight onto the schedule.
That third option is becoming much less hypothetical for chiropractic practices. AI is being built into chiropractic practice management software for SOAP notes, intake and scheduling, and patient-engagement platforms increasingly use it for online booking, rescheduling, recall and patient reactivation.
But there is an obvious question. Do patients actually want to talk to AI when they call a chiropractor? And an even more important one: does an AI receptionist help a practice grow, or can it actually cost you patients?
The honest answer is somewhere in the middle, and it starts with what you should not automate.
You do not need to automate the entire front desk
This is probably the biggest misconception around AI receptionists, and around front desk automation in general. The goal should not be to replace every conversation your front desk has.
Chiropractic is a relationship-driven business. A new patient might be nervous. They may have questions about their first visit. An existing patient might be frustrated about a bill. Someone may call describing symptoms that should not be handled by an automated system at all. Those conversations benefit from a human.
And chiropractors themselves are making this point. In recent discussions among chiropractic professionals, some practice owners have said they still prefer humans handling new-patient conversations, because that first interaction is part of the relationship with the practice. Others have experimented with AI for missed calls or scheduling and found that some patients still ask to speak with a person. That criticism is reasonable, and any honest look at this technology has to take it seriously.
It just points at a different question than the one usually being argued about:
Stop asking“Can AI replace my receptionist?”
Start asking“Which calls actually require my receptionist?”
Start with the calls nobody is answering
Consider what happens when your office is closed. A prospective patient may find you through Google Search, Google Maps, Instagram, Facebook or an ad. They visit your website, see that you treat exactly the problem they are dealing with, and decide to call. A new patient call: the single most valuable call a chiropractic office receives. And nobody answered.
This is not a rare event. The American Chiropractic Association's publication has highlighted research that small healthcare practices miss up to 30 percent of incoming calls during office hours,1 and prospective patients call because they want immediate answers about things like availability, insurance and what to expect. Chiropractic Economics puts it plainly: when patients call, they expect a real person to answer, not an indefinite hold.2
Somebody was free to answerRang with nobody available
The gap gets expensive the moment you pay for the call. Imagine running a Google or Meta campaign with Call Now as the call to action. Someone sees the ad at 8:15 PM. They call.
The spend
Your “Call Now” ad is live
The intent
Someone in pain taps it at 8:15 PM
The leak
Voicemail. Nobody is there.
The loss
Back to Google. The next practice gets the call.
Now replay that call with an AI receptionist answering 24/7: “Thanks for calling ABC Chiropractic. How can I help?” The caller can ask whether you are accepting new patients, what the hours are, whether there is availability tomorrow, where the office is, how to schedule a first visit. If the request fits the practice's rules, the assistant books the appointment. If it does not, it collects the right information or escalates according to your workflow.
The same problem happens while the office is open
After-hours coverage is the easiest use case to understand, but it is not the only one. A chiropractic office can be open and still be unable to answer every call. Most chiropractic offices are small: a large share of chiropractors are self-employed or work in offices of one to three practitioners,3 which often means one chiropractic assistant is covering check-in, payments, insurance verification and the phone at the same time, while the doctor's day is measured in table time, not phone time. MGMA research on practice phone access has described clinics where more than half of incoming calls went to voicemail at peak times.4
Checking in the 10:30 patient
Taking a payment at the desk
Printing an intake form
The CA,
at 10:40 AM
On hold with an insurer
Answering a question at the counter
The doctor needs the X-ray order
Meanwhile, the phone ringsNew patientRescheduleDirectionsBilling
Chiropractic teams already improvise around this. One chiropractic assistant described a workflow where another doctor sometimes covered the phone, and missed calls were returned as soon as somebody became available. A chiropractor described using automation to capture calls and texts, then personally returning the conversations that actually needed him. That instinct is exactly right. Not AI or humans, but AI first where appropriate, humans when needed.
What can an AI receptionist realistically handle today?
Modern voice agents are considerably more capable than the old “press 1 for appointments” phone trees people associate with automation. For the right conversations, they are genuinely useful:
Booking and rescheduling
“Tuesday 10:30 or Wednesday 3:00?” does not need to interrupt your front desk.
After-hours and overflow
Nobody answered in four rings, two calls at once, lunch, evenings, weekends.
Routine practice questions
Hours, location, parking, new patients, what to bring. Answered consistently, every time.
Missed-appointment follow-up
The system notices the no-show and reaches out to find another time, the same day. Always with consent and opt-outs respected.5
Patient recall and reactivation
Patients who quietly stopped coming get a respectful check-in, on rules you set. A proven chiropractic growth lever.6
But there are conversations AI should not own
This is where practices should be careful. The fact that an AI system can continue a conversation does not mean it should.
A patient calling with a complicated clinical concern should not receive improvised medical advice from a receptionist, human or AI. A patient who is angry about their experience deserves a person. A complicated insurance or billing dispute may require someone who understands the individual account. A nervous new patient who clearly wants reassurance may benefit enormously from speaking with the CA or the doctor. And anything urgent, or outside the assistant's approved scope, needs an obvious escalation path. This division of labor is not a compromise; it is the design that works. The AMA finds physicians see administrative work, not clinical judgment, as AI's most practical use,7 and peer-reviewed work on conversational agents in healthcare reaches the same conclusion: systems that support care teams are more sustainable than systems that try to operate apart from them.8
Routine and predictable · AI
- Booking and rescheduling
- Hours, directions, parking
- Approved FAQs and new-patient basics
- After-hours and overflow calls
- Reminders and missed-visit follow-up
Complex and relationship-driven · Your team
- Clinical questions and new symptoms
- Complaints and sensitive conversations
- Complicated billing and insurance disputes
- Nervous patients who want reassurance
- Anyone who asks for a person
A sensible AI front desk therefore knows its boundaries, keeps unnecessary clinical detail out of automated conversations,9 and treats the handoff as a first-class feature, not a failure state. Sometimes the best response an AI can give is:
“I want to make sure the right person helps you with that. Let me connect you with the team.”
Good automation is not about pretending AI can do everything. It is about recognizing what does not require a human, so that humans have more time for what does.
Will patients be turned off when they realize they are talking to AI?
Possibly. And practices should not ignore that. Recent chiropractic discussions show genuine skepticism about AI answering patient calls: some chiropractors worry about losing the personal touch, and some patients still prefer to speak with someone during an initial conversation. That does not mean voice AI cannot work. It means the implementation matters. There is a huge difference between a rigid announcement system and a natural conversation that lets someone speak normally, handles interruptions, answers the question directly and gets them where they need to go. Patients are not rejecting automation. They are rejecting automation that cannot listen.
Voice quality has improved dramatically, but sounding human is only part of the equation. The assistant also needs to know the practice: accurate hours, accurate scheduling rules, accurate services, accurate answers to the questions it is allowed to handle, clear boundaries around what it cannot answer, and a fast route to a human when necessary. A great voice does not compensate for bad information.
Do not judge it by a demo. Test it on your own calls.
So, is an AI receptionist reliable enough for a chiropractic practice? The wrong way to answer that is by watching a perfect demo. Before turning anything on, make a list of the 20 or 30 questions your practice hears most often. Then:
01Call the agent yourself, on a real phone, from a noisy room.
02Interrupt it mid-sentence and see whether it recovers.
03Change your mind halfway through a booking.
04Ask whether you accept one specific insurance plan.
05Ask something unusual: parking, what to wear, whether you can bring your kid.
06Describe a symptom it should escalate, and watch what it does.
Because the real test is not the perfect answer
What it does when it shouldn't answer is the real demo.
The better question: where is your front desk leaking?
If every call is answered immediately, every missed patient is followed up with, every after-hours inquiry gets a response, every ad lead is contacted, and your team still has plenty of time for the patients standing in front of them, you may not have a pressing problem to solve. But most practices have gaps somewhere:
The usual suspects
That is where AI becomes interesting. Not because it is AI, but because there is work that needs to happen and currently does not happen consistently. That may ultimately be where AI fits best in chiropractic: not replacing the relationship between the practice and the patient, but making sure fewer patients fall through the gaps around it.
Where Glace fits
At Glace, we think about these calls as moments in one patient journey. A patient searches, discovers the practice, calls, visits, and ideally keeps coming back. Every arrow between those moments is a place where the conversation can break, and the phone is where it breaks most often:
Search
Patient looks for care
Discover
Finds and checks the practice
Call
Answered, day or night
Visit
First appointment happens
Return
Care stays on schedule
Before they reach you
Marketing & AI Visibility
Patient education content, healthcare SEO and call-first ads that generate inquiries, plus whether Google and AI assistants recommend you when patients ask
When they call
AI Front Desk
Every call answered in a natural voice, day or night: questions handled from your approved information, appointments booked under your rules, humans brought in the moment it matters
When the conversation pauses
AI Treatment Follow-Up
Missed appointments recovered, quiet patients reactivated, and every open conversation carried until there is a clear next step