AI receptionists for medical and allied health clinics

I ran a multidisciplinary clinic in New Zealand, where the phone was the front door. I sat and listened to an AI receptionist take calls there, which is where most of what follows comes from.

Here's the problem with looking it up. Every page ranking for "AI receptionist" in Australia is a vendor selling one. And every "cost of a missed call" figure we checked traces back to a vendor blog quoting another vendor blog. Nobody has counted anything.

So this is the version nobody selling a phone system is going to write. It's a buying guide for clinic owners in Australia and New Zealand. What an AI receptionist actually does. Where it has to stop. How to work out what a missed call costs you, off your own numbers instead of someone else's. And what's confirmed about the Australian vendors you'd be picking between.

The cost half of this page is mine. It comes from running that clinic and from listening to AI reception take calls there. Where you see "my clinic" below, that's the one I mean, and the numbers are its own. The vendor half comes from reading vendor pages in September 2026, and we say so again where it matters.

What I'd tell a clinic owner to do first. Work out your own missed-call number before you book a single demo. Take your average new-patient lifetime value. Count the calls going unanswered after hours. Multiply by the share of those calls that are new patients. If the answer is small, no AI receptionist is worth buying yet, and no vendor's arithmetic changes that. If the answer is large, your practice software cuts the shortlist before price does. Then one question decides the rest: what is the system allowed to say when a caller describes a symptom.

This one is about the phone. Someone rings, something picks up. Chat widgets, SMS and patient portals are a different tool with a different set of questions, and we cover those in conversational AI in healthcare.

What an AI phone receptionist actually does

An AI receptionist is software that picks up the clinic phone in a synthetic voice, has a short conversation with the caller, and either finishes a booking job in your diary or passes the call to a person. It isn't a voicemail box. It isn't an offshore answering service either.

Going off the vendors' own pages, the job is answering the call, booking or changing an appointment, answering routine questions such as whether you bulk bill, taking a message, and handing the call over when it can't sort it out. A handoff is that last bit, the moment the software stops and gives the live call to a human, ideally with what the caller has already said attached to it. HealthEngine calls its handoff "Smart Transfers", passing a call to a human "with full caller context" (HealthEngine, Helen).

Most of the value sits in the hours when nobody is at the desk. After close, in the middle of a rush, over lunch, on a Saturday.

Where it has to stop: booking is not triage

The Therapeutic Goods Administration draws a line here. It turns on what the software says, not what it does with a phone line. Software that analyses or interprets information "by generating a diagnosis, differential diagnosis or treatment recommendation not explicitly stated by the healthcare practitioner" is regulated as a medical device (TGA, Digital scribes).

In plain words: the moment it starts telling a patient what's wrong or what to do about it, you're holding a different kind of product with a different set of rules.

A receptionist that books, reschedules and answers "do you bulk bill" sits nowhere near that line. One that starts deciding whether a symptom can wait until Thursday does. Ask any vendor, in writing, what their system is allowed to say when a caller describes a symptom, and what it does instead.

What a missed call actually costs you

Work it out from your own numbers. There's no published figure worth borrowing. And the answer is different for new patients and returning ones.

Lifetime value is the total revenue one patient brings in across their whole course of care, not the price of their first appointment. That's the number this section runs on. A missed new-patient call doesn't cost you one consult. It costs you the course.

New patients are the exposure

A new patient who can't get through rings the next practice. That's the whole mechanism. They're usually calling because something has happened. They're often in pain. They're short of patience. There's no relationship holding them to you yet.

In my own clinic a new patient was worth somewhere around $800 to $1,000 over their course of care, depending on the practitioner. That's my own estimate off my own books, and the range moved with who they saw. It isn't an industry benchmark and I wouldn't use it as one.

The damage is delayed too, which is what makes it easy to miss. A quiet month for new patients doesn't hurt straight away. Your existing patients are still coming in. Then they get better and get discharged, and about a month later there's a hole in the book. Steady new-patient volume is what keeps a book full across every practitioner.

Returning patients are a much smaller risk

There's already a relationship there. A returning patient who can't get through usually calls back later or emails instead. Some will get sick of it and leave if they can never reach anyone, especially if the phone is how they like to book. That's a small group and a small slice of revenue.

The two side by side, the way I saw them run in my own clinic:

How I worked it out, in two steps

This is what I used in my own clinic, and it's what we run with clients now. No vendor formula needed.

1. Take your own average patient lifetime value. Not a clinic? Take your average sale price if you sell products, or your average customer lifetime value if you sell services.
2. Pull your own call numbers. Most phone systems will show you missed calls during opening hours and calls that land after hours.

Multiply the second by the share you'd expect to be new patients, then by the first. That's your number. It'll look nothing like the numbers in the vendor blogs, and it's the only one that should decide anything.

The same sum, worked through

Here's an example of the arithmetic, with placeholder inputs. Swap all three for your own before the answer means anything.

Forty calls at one in four new patients is ten new-patient calls a month. Ten times $500 puts your monthly exposure at $5,000, before you take off the callers who'd have rung back anyway. Run the same sum at a one-in-twenty new-patient share and you land on $1,000 a month. That's a completely different buying decision. The gap between those two answers is why you do the sum yourself.

Why the figures online are worth ignoring

We went looking for a citable missed-call cost figure for Australian clinics. There isn't one.

For example, one vendor blog hangs fifteen statistics off named-sounding reports and links to none of them. Another runs the sum out to an annual total in the tens of millions in lost revenue, for one specialty practice, with every input assumed. A third vendor's Australian landing page shows its missed-call statistics as animated counters nobody ever filled in. They still read zero when we looked at the page.

None of it is government, industry body, or peer-reviewed. It's a genre built to make a purchase feel urgent. Two things look close enough to fill the gap and don't. Research on missed appointments counts patients who book and don't turn up, which is a different problem. And AIHW's primary care data covers visit volumes, not call answer rates.

The one number that comes with its own caveat

HealthEngine publishes a single-clinic case study for Helen (HealthEngine, Helen): 63% of incoming calls fully handled start to finish, 140 minutes of daily call time handed back to reception, and a patient satisfaction score of 4.5 (HealthEngine's own page, read September 2026). The same page carries its own disclaimer. The results "represent a single GP clinic case study and are provided for illustrative purposes only", and "no performance outcomes should be inferred or expected for other clinics".

That caveat is the only reason I'm willing to quote it at all. Take the number and the caveat together, or leave both.

When a caller asks for a human

Give them one. Healthcare runs on relationships, and a caller who asks to speak to a person has just told you the automation has hit its limit.

If nobody is free, the system should take the message promptly and pass it to the team. Not a callback request sitting in a dashboard nobody opens. A message that lands somewhere a person will see it the same day. Where that message ends up is a routing question rather than a phone question, and it's the sort of plumbing we build in AI workflow automation.

Try that one in a demo. Ask for a human, and watch what happens next.

Helpful or annoying?

That's the title of a thread in r/physicaltherapy, where clinicians were comparing notes on clinics using AI to answer calls and book after hours (r/physicaltherapy). It's the right question. The answer comes down almost entirely to the first fifteen seconds of the call.

A really good human receptionist, one who builds rapport with patients, is worth their weight in gold. Nothing beats that for warmth, for engagement, for keeping a patient base. An AI receptionist never gets compared to her. It gets compared to a phone that rings out.

Where it does work, it works on speed and on being upfront. Here's an example of an opening that does both. It's close to the one the AI reception at my clinic used:

"Hi there, my name's Alicia. I'm an AI receptionist. I'm covering the phone right now because at the moment there's no one available to take your call. I really hope you don't mind. I can book a new appointment, cancel an existing appointment, or reschedule an existing appointment. Are you happy for me to do any of those? I can also take a message."

It names itself. It says plainly what it is. It says why it picked up. Then it lists exactly what it can do before it asks permission. That last part matters more than it looks. It stops the caller wondering whether they're even allowed to use the thing, which is where these calls usually fall apart.

Read your own vendor's default greeting against those four things before you go live. Whether patients will accept it at all is the bigger question, and we work through that in AI adoption in healthcare.

What's confirmed about the Australian vendors

Everything below comes from each vendor's own pages, read in September 2026. I haven't used any of them myself and we don't endorse any of them. The order isn't a ranking. Pricing is almost always missing: every vendor routes you to a demo booking.

Solium AI turns up in these results too, pitching itself as custom-built per clinic with a setup of roughly two weeks. It doesn't name the practice management systems it books into, so there was nothing confirmable to put in the table.

(We've worked with Splose in the past.)

Your practice software decides your shortlist

A practice management system is the software your clinic runs its diary, patient records and invoicing in. Cliniko, Best Practice, Halaxy, Nookal, Splose and Pracsoft are the names that come up most in this market. An AI receptionist that can't write into yours can only ever take messages.

That one constraint knocks out most vendors before any of the other questions matter.

Of the vendors we checked, the allied health coverage and the GP coverage barely overlap. Lyngo names Cliniko, Nookal, PracSuite and Splose. Helen names Best Practice and Pracsoft, and says so flat out. MayaAI names Best Practice, Cliniko and Halaxy. None of the vendors we checked names MedicalDirector, Genie, Gentu or Power Diary on its own receptionist pages. That's a gap in what we could find, not proof no integration exists, so ask them directly.

Run a mixed practice? Check the integration against every system in the building, not the one the demo was booked around. It's the same trap as choosing practice software, and the same question we work through in our guide to choosing an AI scribe.

Purpose-built, or a generic product with a medical page on it

Go industry-specific. Medical and allied health carry far too many considerations to inherit from a general-purpose tool. They show up in details such as what the bot is allowed to say about a symptom, how it handles an upset patient, and what it does with a cancellation inside a fee window.

Sophiie shows the category cleanly. Its medical and healthcare page reads like a clinic product, while its own site footer calls Sophiie the AI receptionist "built for tradies" (Sophiie). That's not a judgement on whether it works. It's a prompt to check which way round the product was built.

Then check the vendor's team. Healthcare background in the people building it is what backs up the claim that they get the requirements. Ask who on the team has worked in a clinic.

What to ask before you sign: the checklist

Take these eight questions into the demo and write the answers down. Any one of them can rule a vendor out on its own.

The advertised monthly price isn't the cost. Nearly every one of these systems carries a variable charge on top, and it moves with your call volume. That's the number that decides whether the thing pays for itself.

Work out how many of those after-hours and missed calls are genuinely new-patient calls before you commit. Put that against the lifetime value you worked out earlier and you've got the whole business case.

Consent and patient data, the short version

The Privacy Act kicks in the moment the caller is identified. An OAIC spokesperson, quoted by MJA InSight+: "The Privacy Act applies to any personal information inputted into an AI tool, as well as in the outputs generated or inferred by AI" (MJA InSight+). A receptionist bot asking for a name, a date of birth and a reason for the call is handling health information.

Recording the call is a separate question. The same piece notes that recording a private conversation without consent "is a criminal offence in some Australian jurisdictions" (MJA InSight+). That was written about scribes. It applies to any phone system that records or transcribes calls for quality or training.

One more thing worth saying plainly. No Australian regulator has published guidance written for AI on the phones. RACGP, AHPRA and Avant have all published on AI scribes, and none of it names phone-answering AI. Apply the same consent and transparency thinking, and check for updates before you commit. The wider picture is in our guide to AI in healthcare administration.

Where to start, and where Opal comes in

Not with a demo. With two numbers. Your average new-patient value, and how many calls you're missing outside working hours. If the second one is small, the case doesn't exist yet, and no vendor's arithmetic will change that.

If it isn't small, then the shortlist is short. It's whoever integrates with your practice software, keeps the data where you need it, hands a caller to a person when they ask, and was built for clinics rather than skinned for them.

That's the work we do in AI agents and implementation. The audit first, then the build. We don't sell software and we don't take a commission on what gets recommended. Getting it adopted afterwards is its own piece of work, the same way it is with a scribe, which we cover in rolling out an AI scribe.

FAQ

What does an AI receptionist actually do?

It picks up the clinic phone in a synthetic voice, has a short conversation with the caller, and either finishes a booking job in your diary or hands the call to a person. It can also answer routine questions such as whether you bulk bill, and take a message when nobody's free.

Can an AI receptionist tell a patient what's wrong with them?

No. The moment software generates a diagnosis, a differential diagnosis or a treatment recommendation the practitioner hasn't stated, the TGA regulates it as a medical device. A receptionist that books, reschedules and answers logistics questions doesn't cross that line, but it's worth asking any vendor, in writing, what their system is allowed to say when a caller describes a symptom. (TGA, Digital scribes)

How much does a missed call actually cost my practice?

There's no reliable industry figure, so work it out from your own numbers. Take your average new-patient lifetime value, then multiply it by your after-hours and missed calls each month and by the share of those calls that are new patients. That number should decide whether an AI receptionist pays for itself, not a vendor's blog post.

Will an AI receptionist work with my practice management software?

It depends entirely on the vendor, and coverage varies a lot. Some integrate with Cliniko, Best Practice, Halaxy, Nookal, Splose or Pracsoft, but none of the vendors we checked cover every system, so check the integration against every system in your practice, not just the one the demo was built around.

Is patient data safe with an AI receptionist?

The Privacy Act applies the moment a caller is identified, since a name, date of birth and reason for the call is health information. Recording the call is a separate question, and doing it without consent is a criminal offence in some Australian jurisdictions, so ask your vendor how consent and recording are handled before you go live. (MJA InSight+)