Yes AI. AI consulting for Australian businesses.
Forms and calculators require JavaScript. You can still read this page and contact us by phone or email.
Call (03) 9003 0111 | hello@yesai.au
Interactive controls are loading. Phone and email links are available.
Every unanswered call at your Sydney practice costs more than you think. Here is how the numbers cascade.
per missed call
per week lost
per year leaked
lifetime patient value
In Sydney's competitive healthcare market, a single unanswered phone creates a domino effect that compounds over months and years.
Reception is handling 3 patients. The phone rings out after 6 rings.
The caller needed a same-day appointment. They call the practice down the road instead.
That patient would have referred their partner, mother, and two colleagues over 3 years.
The competing practice now has a loyal patient family. They leave 5-star Google reviews.
Multiply by 4-8 missed calls per day, 5 days a week, 48 weeks a year. The gap compounds.
of GP and specialist practices
avg wait for new patient
practice concentration in metro areas
go unanswered at peak times
Hour by hour, see how the same practice runs with and without AI. Based on real call data from Sydney metropolitan GP practices.
Phone starts ringing before the doors open. Reception scrambles to boot up Best Practice while patients queue at the counter. Three calls go to voicemail. A new patient who found the practice on Google hangs up after 8 rings.
AI answered 4 calls before 8am. Two new patient registrations completed with Medicare details captured. One pathology follow-up request taken for Dr. Patel. Reception arrives to every request summarised and ready to enter, with no voicemail backlog.
Waiting room is full. A patient calls to reschedule but is put on hold for 9 minutes. They hang up and don't call back, becoming a no-show. The receptionist is juggling Medicare claims, phone calls, and a frustrated walk-in asking about wait times.
AI handles the reschedule call in 45 seconds and texts the next patient on the waitlist about the freed slot. A patient gets an SMS confirmation in Mandarin. Reception focuses on the waiting room experience while AI processes three more incoming calls simultaneously.
Dr. Chen asks reception to follow up on Mrs. Thompson's blood results from Laverty Pathology. It goes on a sticky note. Two specialist referrals from yesterday haven't been faxed. A patient calls asking if their results are back - reception can't check while on the phone with another caller.
AI called Mrs. Thompson at 9am after the GP asked for a follow-up, and she is booked in for Thursday. The two referrals are on the follow-up list for staff, so nothing sits on a sticky note. The patient asking about results has the request logged for staff, with a callback time confirmed.
Lunch break. One receptionist covers while the other eats at the desk. Three calls go unanswered. A mother trying to book her child's immunisation gives up and tries another clinic. A recall letter for chronic disease management sits in the "to do" pile.
AI handles all lunch-hour calls without interruption. Immunisation appointment booked with automatic reminder set. AI sends 15 chronic disease recall SMS messages, from the practice recall export, to patients overdue for their annual cycle of care review. Two patients book immediately from the SMS.
Reception discovers 3 Medicare claims were rejected from last week - wrong item numbers. They spend 40 minutes correcting and resubmitting. Meanwhile, the phone rings 6 times. Two callers leave messages, one hangs up, three get through but wait 4+ minutes.
Reception fixes the rejected claims without the phone interrupting, because the AI is taking the calls. All afternoon calls answered within 2 rings. A Cantonese-speaking patient calls about medication side effects - AI triages in Cantonese and books an urgent same-day slot with the GP.
A specialist's rooms call back about a referral from 3 weeks ago that was never received. Reception can't find the original referral letter. The GP has to re-dictate it. 20 minutes lost. Two afternoon appointments no-show - no backfill available.
AI called the patient a week after the referral to check the specialist appointment was booked, so the gap was caught early. Reminder calls the day before cut the afternoon no-shows, and a waitlist patient took one of the freed slots.
Last appointment runs 15 minutes over. Three patients call in the final hour - two need urgent same-day but there's no availability. They're told to go to the ED or call back tomorrow. The practice loses two patients to a nearby after-hours clinic.
AI took a late cancellation call at 4:30, so reception could give the 4:45 gap to one urgent patient. The other urgent caller was assessed and directed to the nearest bulk-billing after-hours clinic in Chatswood with a warm handoff. Patient stays in the practice ecosystem.
Practice closes. Phones go to a generic voicemail. Seven messages will be waiting tomorrow morning, adding 30 minutes to the morning rush. A patient experiencing medication side effects calls at 7pm and gets no guidance, ending up at Royal North Shore ED unnecessarily.
After-hours AI takes over. The medication side effects caller is given the practice's after-hours advice wording, told to call 000 if symptoms become severe, and booked for a morning review with a note for the doctor. Three appointment requests processed overnight, ready for morning confirmation.
Based on aggregated call data from 120+ Sydney metropolitan GP practices. Individual results vary by practice size and patient volume.
Direct booking into Cliniko and Splose. For other systems, ready-to-enter bookings for reception, and a direct connection wherever the vendor allows it.
“We were losing patients to missed calls every single day and didn't even realise the scale of it. The AI receptionist paid for itself in the first month. Our booking accuracy went from best-guess to 94%, and the staff finally have time to actually talk to the patients in front of them.
We were losing patients to missed calls every single day and didn't even realise the scale of it. The AI receptionist paid for itself in the first month. Our booking accuracy went from best-guess to 94%, and the staff finally have time to actually talk to the patients in front of them.
Booking accuracy
Fewer missed calls
Time to full ROI
Based on a 3-doctor general practice in metropolitan Sydney receiving a high daily call volume with a typical answer rate.
Assumptions: Average $47 revenue per recovered call (blended consultation value including follow-ups and referrals). Call recovery improves 20% year-over-year as AI learns practice patterns. AI cost includes full platform, practice system setup, multilingual support, and after-hours coverage. Does not include additional revenue from reduced no-shows or improved patient retention. Based on practices across CBD, North Shore, Western Sydney, and Eastern Suburbs.
Common questions from Sydney healthcare practices considering AI automation.
From Chatswood to Bondi, Parramatta to Sutherland - Sydney practices are switching to AI reception. See what it looks like for your clinic.
Call our Sydney office on (02) 8880 0208 or book a consultation below.