🐾 AI receptionist for vet clinics

AI for veterinary clinics: an AI receptionist that never misses a call

Answer out-of-hours calls with voice AI, automate vaccine recalls and reduce no-shows — without replacing your existing software or hiring more staff.

En una frase: EBROTECH puts AI agents on top of the practice management software your clinic already uses (ezyVet, Provet Cloud, Vetspire), without migrating anything. We automate the work your current system does not do: answering after hours with voice AI, sending and chasing reminders, recovering lapsed clients and asking for Google reviews. It is AI on top of your existing setup, not a change of software.

AI for veterinary clinics: what the AI receptionist does and what it does not

AI in a vet clinic is not a dumb chatbot bolted onto your website. It is a set of automations that actually understand the context of each patient. In practice it comes down to three things. First, automatic recall: the system knows the Labrador on the books had its booster on 12 March, so on 12 March next year a WhatsApp or SMS goes out reminding the owner to book. Second, voice AI that picks up calls out of hours and tells the difference between a genuine emergency (a road traffic accident, breathing difficulty) and a routine query. Third, Google reviews: 48 hours after a happy visit the owner gets a message asking them to leave a review. What AI does not do is diagnose. It books, reminds, filters and escalates. The medicine stays with the vet.

AI agents for vets: agent vs chatbot vs automation

There is a lot of confusion here, so let us be clear. A chatbot is a scripted set of questions and answers; the moment the client goes off script, it breaks. An automation is a simple if-this-then-that rule with no real intelligence. An AI agent is different: it has context on the patient (history, treatments, last visit), it can take limited decisions (book, escalate to the vet, write up the summary), and it improves with feedback. In a veterinary practice the useful agent is the triage one: it answers calls, asks five questions about symptom and urgency, decides whether to book a normal appointment or ring the vet's mobile for a real emergency, and leaves a written summary in the PMS. That is a practical AI agent, not science fiction. It has been running in pilot clinics since 2026.

Connecting your PMS to the AI layer: the API question

Your practice management system (ezyVet, Provet Cloud, Vetspire, IDEXX Animana) holds the patient data. The AI layer needs to read that data to personalise messages. The connection is made through the system's API where one exists, or through a daily export where it does not. ezyVet and Provet Cloud expose modern REST APIs, so the integration is direct. Older or more closed systems work through a scheduled export. The important point is that you do not migrate: your team keeps using the software they know, and the AI reads the data in the background. Sync is typically every 15 to 30 minutes for non-critical data, and real time for appointments and emergencies.

Software for veterinary practices in the UK: where the AI sits

The UK and international vet software market is fragmented. ezyVet (now part of IDEXX) is strong in multi-site and corporate groups. Provet Cloud is popular in independent and forward-thinking practices. Vetspire is growing in the US. Covetrus and the legacy IDEXX products still run a large share of established clinics. We are not here to tell you to switch any of them. Whatever you run, we build the AI layer on top, reading appointments, reminders and patient records, so the value lands without the disruption and cost of changing your core system.

Claude Code and the technology behind the system

Claude Code, from Anthropic, is the tool we build the clinic's automations with. It is not something the vet uses directly; it is the workshop behind the scenes. We mention it because some practices ask what technology sits underneath. Claude Code lets us build bespoke AI agents without a traditional development team, which means we operate at a fraction of the cost of enterprise AI suites that start at thousands of pounds a month. The practical difference for you: the system adapts to how your clinic actually works, rather than forcing your clinic to work around the software.

ChatGPT for vets: where it helps and where it does not

ChatGPT, from OpenAI, is genuinely useful for a clinic on specific admin tasks: drafting a welcome email for a new client, translating a report for an overseas owner, generating a first draft of the monthly newsletter. ChatGPT is not the right tool for clinical decisions (the legal risk is high), for talking to clients live (it has no context on your patients and can give wrong information), or for replacing your PMS. The difference from a dedicated AI agent is that ChatGPT is generic: it knows nothing about your clinic, your protocols or your patients. It is a tool to help the team write faster, not an operating system for the practice.

Codex and AI development tools, in plain terms

Codex and similar coding tools are used to build the system, not in the day-to-day running of the clinic. If you have an in-house technical team, they are useful for producing bespoke integrations faster. If you do not, this is simply context: we use them on the backend so that connectors to ezyVet, Provet Cloud and the rest ship faster. The relevant takeaway for a vet is that building this kind of system now costs a fraction of what it did three years ago, which is exactly why the pricing is accessible without cutting corners on quality.

AI for vet clinics: return on investment, hours back and revenue recovered

The honest way to think about ROI in a veterinary practice is in two columns: hours your team gets back, and revenue that would otherwise leak away. Manual confirmation calls, chasing lapsed clients and asking for reviews quietly eat 8 to 12 hours a week in a mid-sized clinic. On the revenue side, every out-of-hours call that rings out is a client who may go to the practice down the road. The numbers in the table below are the ranges we see across pilot clinics, not best-case marketing figures.

What changes when AI works for you

30%

of lost appointments recovered with reminders

24/7

AI picks up the phone when you can't

5x

more Google reviews in 60 days

0

missed calls left unanswered

Typical results in the businesses we work with. We measure it with you from day 1.

Real use cases

30-40% fewer no-shows

Automatic vaccine recall

Every vaccinated patient enters a recall queue based on the real due date. 30 days before it lapses, a reminder goes out by WhatsApp or SMS. No reply triggers a second pass at 15 days and a third at 7. Typical result: fewer owners who simply forget, and a 30-40% lift in completed vaccinations within 90 days.

20-30 calls/month recovered

Out-of-hours voice AI

Calls that come in after hours (8pm to 9am and weekends) are answered by the voice AI. It asks five questions, separates a genuine emergency from a routine query, books a first appointment or rings the vet's mobile for a real emergency. Recovers 20-30 calls a month that used to go to a competitor.

5x reviews in 60 days

Google reviews on autopilot

48 hours after the visit, an automatic message asks how it went. A happy reply (NPS filter) gets a direct Google link. A lukewarm or poor reply is escalated internally to resolve before it ends up public. Multiplies your Google review rate by roughly 5x in 60 days.

8-12 hrs/week saved

Appointment confirmations

A reminder 24 hours before each appointment, by WhatsApp or SMS, with two buttons: confirm or reschedule. Reception stops making the manual confirmation calls that swallow 8 to 12 hours a week in mid-sized practices.

100% follow-up, no effort

Post-surgery follow-up

After surgery, an automatic sequence checks in at 24h, 72h, 7 days and 14 days asking how the animal is doing. A worrying reply is escalated to the vet. It catches complications early and noticeably improves perceived care.

8-12% reactivation

Re-engaging lapsed clients

Patients not seen for more than 12 months get an automatic check-in. Typical recovery: 8-12% book an appointment again within 60 days of the first message, with zero manual chasing from the team.

Estimated ROI by tier

Tier Hours saved / month Revenue impact
Tier 1 Bridge 20-30 hrs/month ~£450-700/month recovered
Tier 2 Augment 50-70 hrs/month ~£1,300-2,200/month recovered
Tier 3 Migrate 120-150 hrs/month ~£3,500-6,000/month recovered

AI on top of the software you already use

Preguntas frecuentes

Does it work with my software (ezyVet, Provet Cloud, Vetspire)?

Yes. The connectors cover the most common practice management systems, and ezyVet and Provet Cloud have modern APIs so the integration is direct. If you run something less common, we assess it in the discovery call. You do not migrate to use the AI on top.

What happens if the voice AI gets a genuine emergency at night?

The voice AI is set up to detect real emergencies (breathing difficulty, road traffic accidents, poisoning). In those cases it rings the vet's mobile immediately as well as logging the call. For routine queries it books a normal first appointment and notifies you the next day, without disturbing you overnight.

How many Google reviews can I realistically expect a month?

It depends on visit volume, but pilot clinics seeing 100-150 visits a week average 15-25 new reviews a month. As a rule of thumb it is around 5x what you collect now manually.

Is there a long contract or can I cancel?

Month to month, no lock-in. If you see no results in the first 30 days we refund the setup. A long contract only protects us if the system does not work, and we would rather it work, so we do not ask for one.

Is this GDPR compliant when pet records also hold the owner's personal data?

Yes. Owner data is personal data but not special-category. We host on Hetzner in Helsinki (BSI C5 Type 2 and ISO 27001:2022 certified) inside the EU, and we sign a Data Processing Agreement with you as the data processor. This covers both UK GDPR and EU GDPR.

What happens to the patient's clinical records?

Clinical records stay in your PMS. The AI layer only reads what it needs to personalise messages (name, vaccine date, treatment type) and never touches the full clinical history. The sensitive data stays exactly where it is.

Will my receptionist feel replaced by the AI?

The AI does not replace, it frees up. Reception loses the repetitive tasks (confirmation calls, vaccine reminders, asking for reviews) and gains time for what genuinely needs a person: front desk, special cases, upselling. Clinics that have trialled the system kept 100% of their team.

How long does it take to go live?

Tier 1 Bridge: 2-3 weeks from sign-off. Tier 2 Augment: 4-5 weeks. Tier 3 Migrate: 6-8 weeks including full data migration.

What is an AI receptionist for a vet clinic, exactly?

An AI receptionist is a voice AI that answers your clinic phone 24 hours a day, 7 days a week. It greets callers in a natural voice, qualifies the reason for the call, books routine appointments directly and escalates genuine emergencies to the duty vet. It does not replace your front desk team; it handles the out-of-hours volume and the overflow calls that currently go to voicemail or a competitor.

Can an AI voice agent really reduce no-shows at a vet practice?

Yes, and the mechanism is simple. The AI sends a reminder 24 hours before each appointment by WhatsApp or SMS with one-tap confirm or reschedule options. Practices that move from manual reminder calls to automated reminders typically see no-shows fall by 30-40% within the first 90 days, because owners get the reminder at the right time rather than relying on memory.

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