Your front desk can't be on three calls at once. Patients don't wait.

It connects to mainstream practice systems — Cliniko, Halaxy, and the major calendar platforms — reading real availability and writing bookings back with the patient's details attached. During design we confirm compatibility with your exact setup before anything is built.

Health information is handled conservatively by design: the agent collects only what's needed to book and prepare for an appointment, data is stored on Australian-region infrastructure wherever the platforms allow, and everything it captures and where it goes is documented for your privacy policy. Clinical questions are never answered — they're routed to your team.

No — that's a hard line built into the agent. Anything clinical gets a polite 'that's one for the practitioner' and is routed to your team with the patient's details and a note. The agent handles bookings, hours, fees and logistics; medicine stays with the humans.

No — and it's worth saying plainly to your team. The agent takes the overflow: the calls that currently ring out, the after-hours bookings, the reminder admin. Your receptionist keeps the front desk — greeting patients, handling the complicated calls, running the room — with fewer interruptions and less stress.

ChatGPT is a brilliant general tool — but it doesn't answer your phone, book into your calendar, follow up a quiet lead at 9pm, or know your prices and your rules. The gap between a clever chat window and something that reliably runs a slice of your business is the entire job. We build that second thing: wired into your systems, set up around how you actually operate, working while you're on the tools. Anyone can open ChatGPT; making it do real work in a real business is a different thing.

Usually because the tool was bought, not fitted. An off-the-shelf app does the easy 20% and leaves you to wire in the 80% that's specific to your business — and that's where it dies, a few weekends in. We start from where AI genuinely pays off for you (sometimes the honest answer is "not here yet"), build it into your actual workflow, and stay on it so it keeps working when something upstream changes. You're not buying software and hoping — there's an operator accountable for the outcome.

We design it to fail like a careful employee, not a confident one. It works inside rules you set, hands off to a human when it's unsure instead of bluffing, and logs everything so we can see misses and tune them out. You hear and approve it before it ever goes live. The bar isn't "perfect" — it's "reliably better than the missed call or the enquiry that sits in an inbox," and you can watch it clear that bar.

Your data is yours — we host it, we never own it, sell it, or use it for anything beyond running your solution. We keep it on Australian-hosted infrastructure wherever the platforms allow, and document exactly what's stored where so your privacy policy can say so accurately. If a part of the build can't meet that standard, we tell you in design, not after.

No — working that out is our job, and it's where the operator background earns its keep. Most owners know the symptom ("we're missing calls," "leads go cold") not the fix. We look at how your business actually runs and tell you honestly where AI pays off and where it doesn't. You don't need a spec; you need the problem. We bring the rest.

Most basic builds are live within about 14 days of you accepting the quote. Bigger, multi-system builds take longer, and we give you a real timeline up front — not a hopeful one. We'd rather it land working than land fast, but for the common starting points, fast and working is the usual outcome.