AI for veterinarians mainly takes administrative load off clinical teams: online booking and reminders connected to the practice management system, AI scribes that draft SOAP notes and discharge instructions for the vet to approve, imaging and lab support as a second pair of eyes, and consistent client follow-up. In multi-clinic groups, it also standardises how every clinic works.
Staffing is the pressure. The 2025 Veterinary Industry Trends Report from Covetrus and Provet found 59 per cent of Australian veterinary professionals cited staffing as their major challenge and 57 per cent highlighted burnout and mental health. Automation will not replace vets or nurses, but it can give them back time.
This guide is for practice managers, clinical directors and operations leaders in multi-clinic veterinary groups and larger hospitals across Australia and New Zealand.
Key takeaways
- Fix practice management system data first: appointment types, client mobiles, integrations.
- Online booking and automated reminders are the quickest wins and are easy to measure.
- AI scribes save documentation time, but every note is a draft until the vet approves it.
- Imaging AI works best as confirmation and triage support, with clear referral rules.
- Disclose AI use, get consent for recording, and keep client data on approved infrastructure.
Where does manual practice management cost vet clinics most?
No-shows. The American Animal Hospital Association has reported an industry average no-show rate of around 11 per cent. In a multi-vet clinic, that is a large number of empty consult slots a year. Automated SMS reminders with easy reschedule links reduce no-shows.
Phone load. Booking, confirming and rescheduling by phone consumes reception and nurse time that could go to clinical support.
Documentation. SOAP notes, discharge summaries and lab interpretations take hours each day, often finished after close.
Inconsistency across clinics. In groups, each clinic often configures appointment types, reminders and templates differently, which makes reporting and rostering harder.
How does AI in veterinary software support the patient journey?
- Book OnlineBooking at any hour, synced to the PMS
- Auto ConfirmReminders with reschedule links
- Check InDigital forms and history captured
- AI ScribeDrafts SOAP notes for the vet to approve
- Follow UpDischarge instructions and care reminders
1. Online booking and reminders
Platforms such as Vetstoria, PetDesk and Paws App connect to practice management systems like ezyVet, Provet Cloud and RxWorks. They handle online booking, confirmations, reminder sequences, reschedule and cancel links, and waitlists for freed slots.
They do not handle emergency triage, surgery scheduling that needs clinical judgement, or complex new-client histories. Many clients will still phone; the value is in after-hours bookings and fewer reschedule calls.
2. AI scribes and clinical documentation
AI scribes such as Scribenote, ScribbleVet and VetRec record the consultation (with consent) and draft structured SOAP notes, discharge summaries and client instructions, often integrating with the PMS.
They do not diagnose or exercise judgement. Species-specific terminology and complex cases need careful review. Treat every note as a first draft that the vet edits and approves before it enters the record.
3. Imaging and diagnostic support
Tools such as SignalPET (radiographs) and VETSCAN Imagyst (blood smears, parasites, cytology) give rapid automated reads. A peer-reviewed study in Frontiers in Veterinary Science comparing an AI radiograph tool with board-certified veterinary radiologists concluded that AI is more likely to complement than replace human experts, performing better at confirming normal findings than detecting abnormalities.
They identify findings, not differential diagnoses, and lack clinical context. Use them to confirm normal studies and flag cases for closer review or specialist referral.
4. Client communication
Website chat can answer FAQs, take bookings and capture after-hours enquiries. A distressed owner needs a person. Configure AI for routine matters and escalate anything clinical immediately to staff or your after-hours emergency partner.
| AI handles | Clinical team owns | |
|---|---|---|
| Booking | Routine appointments, reminders, waitlists | Emergencies, surgery scheduling |
| Documentation | Draft SOAP notes and discharge text | Review, edits and approval |
| Imaging | Automated read and flags | Interpretation, diagnosis, referral |
| Client contact | FAQs and booking | Clinical concerns, grief, bad news |
How should a vet group roll out AI?
- Week 1-2FoundationAudit PMS configuration, appointment types and client contact data
- Week 2-4Booking and RemindersOnline booking and reminder sequences live in a pilot clinic
- Month 2AI DocumentationScribes trialled with a few vets; notes reviewed closely
- Month 3+Scale and DiagnosticsRoll out to more clinics; assess imaging AI against volume
Phase 1: fix the foundation. Check the calendar is accurate, client mobiles are current and appointment types are configured consistently. If your PMS does not integrate with modern booking and communication tools, that is the first decision. For groups, standardise templates and appointment types across clinics now.
Phase 2: booking and reminders. Choose a platform that integrates with your PMS, configure appointment types, durations and blocked times, add booking to your website and Google Business Profile, and set reminders (for example 48 hours and 2 hours before) with reschedule links. Measure no-shows, call volume and after-hours bookings before and after.
Phase 3: AI documentation. Start with a few willing vets, configure templates by appointment type, integrate with the PMS, and review notes carefully for the first month.
Phase 4: diagnostic AI. Only if imaging volume justifies it and you have protocols for AI-assisted reads versus specialist referral. Start with confirmatory use and log disagreements between AI and clinician.
- No-show rate by clinicBaseline vs now
- Bookings made outside opening hoursBaseline vs now
- Inbound calls per dayBaseline vs now
- Documentation time per consultBaseline vs now
- Notes finished after closeBaseline vs now
What privacy and ethical rules apply to AI in vet practices?
Privacy Act. Organisations with annual turnover above $3 million are covered by the Privacy Act 1988, which includes most multi-clinic groups. Client names, contact details, payment and recorded consultations are personal information. Check where AI vendors store and process data, get clear terms on training use, keep audit trails and support access and correction requests.
Recording consultations. Tell clients when an AI scribe is recording, through signage and verbal confirmation, and check state surveillance and listening device laws for consent requirements.
Professional responsibility. Veterinary boards hold the veterinarian responsible for clinical records and decisions. In practice: disclose when AI assisted, keep vet oversight of every output, never present AI findings as definitive diagnoses, and protect the vet-client relationship.
What mistakes do vet practices make with AI?
- Starting with diagnostics. Fix booking and documentation workflows first.
- Expecting AI to fix staffing. It frees time; it does not replace trained staff.
- No training. Expect a learning curve of a month or two and support people through it.
- Ignoring the emotional side. End-of-life discussions and serious diagnoses need people.
- Set and forget. Review performance monthly and refine.
What hurts most right now?
- Empty slots from no-showsAutomated reminders with reschedule links
- Phones overwhelming receptionOnline booking connected to the PMS
- Vets finishing notes after closeAI scribe trial with a few vets
- Every clinic does it differentlyStandardise PMS templates, then automate across the group
- High radiograph volume, limited specialist accessImaging AI for confirmatory reads
How Solve8 can help
Our consultants and engineers help multi-clinic veterinary groups standardise practice management data, connect booking, reminder and documentation tools, and build group-wide reporting, with clinicians approving every clinical output. See our healthcare work and system integration service, or contact us to scope a pilot clinic.
