80% of the calls your clinic gets follow predictable scripts - bookings, confirmations, hours, scripts, bulk-billing questions. Reception isn't slow; the calls just don't arrive evenly. The 12pm rush. The 5pm wave. The 9pm enquiries you'd love to catch but can't justify a roster for. AI handles the predictable workload, scales to any peak, and frees your reception team to handle the calls that actually need them.
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If three or more of these sound like your clinic, the rest of the page will be useful.
Around 30-40% of new-patient booking enquiries happen between 5pm and 9am - people thinking about a kid's cough at 9pm, or sorting a script during the morning commute. Voicemail or an after-hours service loses most of them. They just keep Googling and book with the next clinic down the road.
The same person who should be handling a complicated triage call or building rapport with a new patient is reading opening hours off a screen. Not a cost problem - a capacity problem. Your team wants to do the high-judgement work. They can't get to it.
GP no-show rates sit at 10-15% in Australian practices. At $80 a consult, eight no-shows a day across the clinic = roughly $160K/year in missed revenue. SMS reminders help a little; active confirmation calls - where the patient can reschedule mid-call - close most of the gap.
Your reception team can't scale in a week. A casual hire takes seven days to onboard. AI scales to unlimited concurrent calls overnight - at exactly the moment patient experience matters most and currently tanks hardest.
A casual reception staffer hearing “I've got chest pain, can I book for tomorrow?” might book the appointment instead of routing to a doctor. A locked, audited AI script with hard-coded escalation rules can't make that mistake. AI as risk reduction, not risk addition - that's the conversation your compliance officer wants.
65+ patients account for around 40% of GP visits in Australia. The phone is their booking channel. Improving phone capacity isn't a tech-savvy-millennials story - it's about serving the cohort that's already paying for most of your appointments.
Call demand is spiked, not steady. 12pm rush. 5pm wave. Spring flu peaks. After-hours enquiries you'd love to catch but can't justify a roster for. Reception sized for the average is drowning at the peak and idle at the trough - and you can't hire your way out of that curve.
None of these are abstract capabilities. Each one is a workflow we've built into production for an Australian clinic before.
Captures name, Medicare details, contact, preferred doctor, and reason for visit - straight into the PMS appointment book.
Active outbound calls 24-48 hours before. Patients can confirm, reschedule, or cancel mid-call. Two-way, not one-way SMS.
Inbound and outbound. Slots that free up auto-route to the next patient on the waitlist if you have one.
Answers from your locked, versioned FAQ. Never gives Medicare advice the practice didn't pre-approve.
The fifty-times-a-day questions. Handled in seconds, accurately, without taking up reception's time.
Triages, captures details, routes to the right doctor's prescription queue. Patient gets a callback or SMS confirmation.
Verifies identity, escalates to the doctor or nurse per your clinic's protocol. Never reads results without authorisation.
Hard-coded red flags (chest pain, breathing difficulty, paediatric emergencies) → escalate to nurse-on-call or 000 prompt. Everything else captured for callback.
If your PMS isn't on this list, we'll build the custom connector during MVP scoping. We've yet to find an Australian PMS we can't talk to.
We never sell a full deployment to a clinic that hasn't seen the AI handle their actual calls. The structure below is how every clinic engagement starts.
We pick the highest-leverage workflow for your clinic - usually new-patient bookings or no-show recovery - and lock the success metrics with you.
AI handles a test workload across 50-100 real interactions. You measure call quality, validation accuracy, and patient experience before anything goes live to actual patients.
If the data looks right, we deploy to production with full PMS integration. If it doesn't, the build stops. You pay 1/3 upfront - the rest only if you choose to continue.
Payment structure: typically 1/3 upfront, the balance only if you choose to continue after the MVP data comes in. Australian businesses building AI capability may also be eligible for the R&D Tax Incentive - up to ~43% of development spend back. We'll walk through whether your engagement qualifies on the discovery call.
That was a real worry 18 months ago. It isn't now. Production deployments are seeing acceptance rates in the high 80-90% range - because the alternative is voicemail or a 12-minute hold queue, and the AI talks more slowly and patiently than a stressed receptionist. We can play you live audio on the call.
Hard-coded escalation rules. The AI never tries to diagnose. Red-flag phrases route immediately to your nurse-on-call, your duty doctor, or a 000 prompt - whatever protocol you set during scoping. The escalation rules are locked and versioned: the AI cannot drift off them between calls.
Yes. We have native integrations with the major Australian PMS systems and build custom connectors for anything else. Specific integration scope is locked in during the MVP scoping phase so there are no surprises mid-build.
Australia, by default. All call recordings, transcripts, and structured data stay on Australian infrastructure. We don't route through OpenAI, Gemini, or any other third-party AI provider in the critical path - we own the full stack. For clinics with strict residency requirements (state government, public health, sensitive specialties) we offer on-premise deployment.
It escalates. The AI has rules for when to route to a human staff member with full context handover (patient details, what they asked, what the AI tried). It never guesses, never invents an answer, and never gives Medicare or clinical advice your practice didn't pre-approve.
MVP - one scoped workflow with live test data - typically 4-6 weeks from kickoff. Full production deployment with PMS integration is usually 6-10 weeks total, depending on how complex your workflow stack is.
No - and most of our clinic clients explicitly don't want that. The pattern that works is the AI handling the predictable, repetitive interactions (FAQs, bookings, basic triage) so reception can focus on the calls that genuinely need a human. It's capacity unlock, not headcount reduction. Your reception staff usually like it because the boring half of their day disappears.
We'll walk through what an AI deployment would look like for your specific clinic - call volume, PMS, after-hours pattern, no-show rate - and whether a scoped MVP makes sense. No deck. No pre-sales pitch. Just the numbers and a plan.
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