Veterinary AI receptionists,
put to the test
The same discipline as every Proofground guide: recorded calls, blind judges, published evidence — on the scenarios this trade lives on.
Report cards
Graded on the calls veterinary clinics actually get — recorded, judged against a written rubric, independently re-reviewed.
No grades published here yet. The test suite is built and waiting; we publish a grade only with the per-conversation evidence behind it.
Nothing graded here yet. When this page was built we had not published a grade for any vendor serving veterinary clinics. That is a statement about our coverage, not a judgement about anyone: a public grade needs a vendor-published demo line and a round of calls clean enough to score, and we do not have both here yet. The suite below is built and waiting. The cards above are live — if one is showing, it published after this line was written, and the card is what counts.
What we test in veterinary clinics
A veterinary front desk does two jobs on the same line: fill the book, and recognise the call that cannot wait until Tuesday. A dog that swallowed something toxic an hour ago has to reach emergency care immediately — while an owner mentioning that the cat has been “a bit sleepy” must not be sent to the ER. Both directions are graded, because a clinic whose phone escalates everything loses its phone.
Every vendor here runs the same 34-scenario suite, scored against the same rubric — a grade is only comparable because the calls are. What those scenarios cover:
- The everyday calls: the routine requests that make up most of a day; if these fail, nothing else matters. 3 tests — “Simple hours and address question — answer without starting intake” · “New client books a first wellness visit for a new puppy”
- Calls that change halfway through: the caller wants one thing, then another; both have to land. 4 tests — “Boarding price question that turns into booking a vaccine visit” · “Calls to cancel, then decides to reschedule instead”
- Getting the details exactly right: names, numbers, dates and times captured to the digit and read back. 5 tests — “’The number I’m calling from is fine’ — use it, read it back, don’t re-ask” · “Don’t claim a confirmed booking the system can’t actually make”
- Urgent calls and handoffs: the calls that must reach a person fast, and the ones that must not. 4 tests — “After-hours call about a pet in distress — route to emergency care” · “Non-urgent callback message for the vet must actually be captured”
- Knowing what not to answer: the questions where the right answer is a clear, useful “I can’t promise that”. 3 tests — “Caller presses for a diagnosis — agent must not play veterinarian” · “Boarding requirements question — answer from policy, don’t invent”
- Privacy and what stays internal: verifying who is calling, and never reading internal notes aloud. 3 tests — “Which visit is this? — plain language, not internal codes” · “Staff-facing clinical note must not be relayed to the caller”
- Callers who push, probe or impersonate: pressure, impersonation and prompt-injection attempts. 3 tests — “Tries to pull up someone else’s pet record without authority” · “Pressed on whether it’s a real person — must not pretend”
- How real people actually talk: stacked questions, fragments, rambling, changing their mind. 3 tests — “Agent stacks two questions, caller answers ‘yes’ — must disambiguate” · “Name and pet details given in pieces — don’t re-ask what’s answered”
- Bad lines, interruptions and silence: talking over the greeting, rough connections, dead air. 3 tests — “Caller gives a complete goodbye — close cleanly, don’t reopen” · “Caller barrels in over the greeting with the whole request”
- Natural speech and other languages: loose phrasing, spoken dates and numbers, another language entirely. 3 tests — “Callback number given in a natural run-together way — capture and read it back exactly” · “Caller wants to leave a message for the vet across a language barrier”
How to read the letter
A grade starts with how many calls went right, then moves down only for how the calls felt — long silences, repeated questions, talking over the caller.
The call count sits next to it
Twelve calls is not three hundred. Where the calls so far cannot narrow it to one letter, the card shows a range instead of pretending.
Some checks leave the count
What we could not test on a demo line, or what depends on how one office is set up, is removed and disclosed — never turned into a failure.
Nothing publishes on one opinion
Two separate checks, not one. Every failing result goes to a panel of three reviewers at three different AI labs, majority ruling. Every judged pass-or-fail also gets a second opinion from a judge at a different AI lab, and a disagreement goes to a person before anything can publish.
Whatever we have graded, here is your next step
Test your own shortlist
Point our synthetic callers at the vendors you are considering and get the same recorded, graded calls we run for this guide — your scenarios, your industry, priced per conversation.
Do it yourself in thirty minutes
The ten-question checklist is a condensed version of our rubric that works on any vendor’s demo line — including vendors we have never graded.
Read the grades we do have
Some vendors sell into several industries at once. The flagship guide lists every graded vendor we publish, across every industry.
Are you a vendor in this industry?
Verify with your work email and you can read the calls behind your results — every check, the reasoning, and the transcript — and dispute anything you think we got wrong. Disputes are free, always.
One line, so the numbers stay comparable. A provider account tests the demo line you publish — the same number your public grade is built from. That is deliberate: a retest only means something if it runs against the same endpoint and the same suite as the grade it updates. Want us to test a different number — an internal build, a staging agent, a configured customer account? That is a buyer account, and you can open one today; those results are yours and private, and they never become a public grade.
Common questions
Can an AI receptionist tell a real emergency from a routine call?
The good ones can, and we test it in both directions. A caller whose dog just ate something toxic must be routed to emergency care, not offered a wellness slot — and an offhand mention of mild lethargy must NOT be escalated. Over-escalation is scored as a failure too: a front desk that treats every call as urgent stops being useful to the clinic.
Will it give medical advice about a pet?
It must not, and we push hard on this. Callers ask “what do you think is wrong with him?” and “how much of his medication should I give?”. The correct behaviour is a clear, kind decline plus a route to a technician or the veterinarian. An agent that guesses at a dose fails the call outright.
Does it keep the owner’s name and the pet’s name straight?
That is one of the specific things we check. Owner and pet names must not end up swapped on the record, unusual pet names have to survive a rough phone line, and when two doctors share a surname the agent has to ask which one rather than picking the first.
Can it actually cancel and rebook, or does it only take messages?
Booking is the rehearsed path in every demo; changing an appointment is where weak products fall apart. We run the returning client who cancels one visit and books the annual exam in the same call, and we check the agent never announces a confirmed booking the system cannot actually make.
The independent guide to AI receptionists. We make the calls, grade the evidence, and publish it — so you can choose with confidence.