Why radiology first?
Imaging is the most operationally complex specialty we could have chosen, modality rules, referrals, prep, rostering. That's exactly why we chose it.
People ask us why we started in radiology. The short answer: it’s where the operational complexity is highest, and where the wins are most measurable.
The complexity
Radiology and imaging is multi-modal (MRI, CT, ultrasound, X-ray, nuclear medicine, mammography), multi-location (most clinics run 3+ sites), and multi-radiologist (specialist rostering by modality, by site, by time of day). Each modality has its own prep instructions, its own funding rules, its own urgency triage, and its own MBS item numbers behind the billing. Each referring GP has their own escalation policy.
A booking on the wrong machine wastes a $1.5M-asset’s slot and frustrates a patient. A misrouted referring-GP call leaves a radiologist offline when a registrar needs them. A missed urgent imaging request is, in the worst case, a clinical safety event.
If you can do triage well for radiology, the playbook transfers to almost anything.
The measurability
Radiology operations are quantifiable in a way that many specialties aren’t. Calls per day, modality utilisation, escalation rates, average answer time, no-show rate, these are tracked already. When we deploy Triagents, the lift is visible in the next operating report.
That measurability matters. It means we know, within 30 days, whether the platform is working for a given group. It means our customers can defend the spend to their board with numbers, not narrative.
The economics nobody mentions
There is a reason imaging rewards this work more than most specialties: the asset is enormous and the clock never stops. An MRI scanner is a multi-million-dollar machine depreciating whether or not anyone is inside it, and a 45-minute slot that goes unused cannot be recovered later. It is not lost margin, it is lost capacity.
That changes what a missed call is worth. In a GP clinic an unanswered phone costs a consultation. In imaging it can cost an hour on a machine that had to be paid for anyway. The same operational failure carries a different price depending on what sits behind the front desk.
And the patient is not tied to you
The other thing that makes radiology unusual is that the referral is portable. A patient holding an imaging request can generally take it to any practice offering the study, and the search data says a great many of them do exactly that.
In a specialty where the referrer chose you and the patient can quietly choose otherwise, intake is not administration. It is the point at which the revenue is decided.
What transfers, and what does not
The playbook moves to adjacent specialties, but not evenly.
Transfers well: intent recognition, escalation rules, referrer routing, after-hours capture, no-show recovery. None of that is imaging-specific.
Does not transfer: the modality logic. The five-variable booking function behind modality-aware booking exists because imaging has machines, prep and contrast. A dental practice has none of that, and pretending otherwise produces the generic booking agent we set out to avoid.
That is why we did not start somewhere easier and generalise inward. Building for the hardest configuration first means the simpler ones are a subset, rather than a rewrite.
The expansion path
From radiology, the natural adjacent specialties are surgical practices (similar referrer dynamics), allied health (similar booking complexity), and multi-site GP groups (similar operational scale). We’re already in conversation with each.
But radiology is where we go deepest, and where we’ll stay deepest.
See it against your own operation
If imaging really is the hardest configuration, the honest test is your own numbers rather than ours. Talk to us about where your web presence and patient experience are costing you bookings, and we will model it on your call volumes and modality mix.