One platform.
Every clinic.
Built for groups running multiple practices under one banner. Each clinic keeps its identity, its hours, its rules, while the group sees everything in one place.
Centralised where it
should be. Local where it must be.
Multi-clinic operators get burned by platforms that force a one-size-fits-all configuration, and by ones that hide group-level data behind clinic-by-clinic dashboards. Triagents gives you both, separately, at the same time.
Per-clinic configuration
Each clinic in the group has its own opening hours, services, escalation rules, knowledge base. Triagents respects that: no forced standardisation.
Group-level rollups
Performance, ROI, escalations and cancellations aggregated up to group level, with drill-down to any individual clinic.
Parallel rollout
Sites are configured alongside each other, not one after another. A single site is live in about five working days, a group in about one to three weeks.
Shared identity, distinct presence
One platform contract, one dashboard, distinct phone numbers and chat widgets per clinic. Patients still recognise the local clinic, not a corporate brand.
Centralised compliance
Privacy controls, audit logs, data residency, managed once at group level, applied uniformly across every clinic.
Volume-tier pricing
Per-clinic price that drops as the group adds clinics. No hidden per-call overage. Predictable on a monthly basis.
What group operators ask first.
How long does a multi-clinic rollout take?+
Can each clinic keep its own hours, services and rules?+
Do patients meet the local clinic or a corporate brand?+
Can the group see across every site at once?+
How is compliance handled across sites?+
From the blog
What we are learning, written down.
- What can AI agents actually do in radiology?Not AI reading scans. What an AI agent actually does across reception, booking, referrals, capacity and follow-up, and what it must never touch.
- We called 100 radiology practices after hours. Here is what answered.Original research: the same 100 radiology practices, rung on Sunday evening. Not one reached a person, and eleven were answered by an AI agent.
- We called 100 radiology practices. Here is what we found.Original research: we rang 100 Australian radiology practices and timed every call. Eight reached a person straight away; the median wait was 90 seconds.
Book a radiology network assessment.
We'll map it to your network.
30 minutes with a solutions engineer. We model your call volume, centre count, and integrations, then show the AI agents running on your own scenarios, and answer everything compliance- and security-related upfront.