AI receptionist for vet clinics
An identified assistant can record out-of-hours administrative requests and prepare approved recalls after software access and clinic protocols are validated.
In short: EBROTECH assesses how an AI agent could support the practice software your clinic already uses. We verify the product, version, plan, permissions and protocol before confirming any connection. The assistant handles administrative requests only, prepares permitted follow-ups and routes clinical matters to the veterinary team.
In a veterinary clinic, the system can identify reviews due under the clinic's protocol and prepare the relevant reminder. Out of hours it records the administrative reason for the call and follows the approved instructions; it does not classify symptoms or decide whether an emergency exists. Review invitations use the same criteria for every eligible customer, and the team retains clinical and sending control.
A public chatbot answers pre-agreed questions. A connected agent can use only the fields authorised by the clinic, prepare a summary and suggest an appointment request. If the conversation mentions symptoms or leaves the administrative script, it routes the caller to the clinic's defined channel without diagnosing, prioritising or ruling out an emergency. The demonstration uses test data so each limit can be checked.
The integration route depends on the product, version, plan and permissions. We verify official documentation or an authorised export, limit the fields and test read, write, errors and rollback. We do not assume direct access, real-time sync or that the existing system can always be retained.
Software is assessed by workflow, permissions, export, supplier support and the cost of maintaining the connection. If the current system offers a safe route it can be retained; otherwise the diagnosis documents the limit and compares alternatives without unsupported market rankings.
Coding tools can help us build and test a connector, but they do not guarantee cost, timescale or compatibility. For the clinic, the verifiable scope matters: authorised fields, permitted actions, tests with controlled records, error logs, rollback and the human responsible for each decision.
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 similar coding tools can help implement a connector. Its viability is decided after checking the real interface, permissions, tests and maintenance. If a connection is not stable or supported, the diagnosis records the limit instead of promising a price, speed or compatibility.
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. 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 deliberately conservative working assumptions, not best-case marketing figures — we measure your real ones with you from day 1. The setup is validated in discovery and measured against an agreed baseline and goal.
Hours
call coverage configured for each line and service
Your software
stays the source of truth, with no forced migration
Measurement
goal and baseline defined before work starts
Control
human handoff and limits agreed for each task
Scope, baseline and metrics are agreed for each project.
Agreed baseline and target
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. The setup is validated in discovery and measured against an agreed baseline.
Outside the agreed opening hours, the assistant identifies itself, records the minimum administrative details and follows the clinic's approved safety instructions. It does not classify symptoms or urgency; clinical wording is routed to the channel defined by the veterinary team.
48 hours after the visit, an automatic message asks how it went. Private feedback and issue handling run separately from the public review invitation. The setup is validated in discovery and measured against an agreed baseline.
A reminder 24 hours before each appointment, by WhatsApp or SMS, with two buttons: confirm or reschedule. The setup is validated in discovery and measured against an agreed baseline and goal.
After surgery, the vet defines whether follow-up is appropriate, its timing and the permitted questions. The system prepares the contact and routes any clinical reply to the team; it neither detects nor rules out complications.
Patients not seen for more than 12 months get an automatic check-in. The setup is validated in discovery and measured against an agreed baseline.
Connection validation
We check the connection, permissions and scope before deciding whether a layer is enough or any migration is needed.
Your software
EBROTECH AI
Goals
Scope is agreed after validating your system.
Tell us about your caseThat depends on the product, version, plan, permissions and supported interface. We test authorised fields before confirming read or write access. If there is no safe maintained route, the diagnosis records the limitation and compares a controlled export with other options.
The voice AI does not decide whether an emergency is real. It follows the clinic's approved safety instructions and routes the caller to the defined channel when a trigger appears. Clinical priority remains with the veterinary professional.
It depends on visit volume and eligibility. The same invitation is offered to every eligible customer without filtering by satisfaction or blocking a public review. We measure invitation, delivery and response from an agreed baseline without promising volume, rating or ranking.
Engagements are structured month to month. Commercial terms and any applicable guarantee are set out in the written proposal.
Compliance depends on the roles, lawful basis, suppliers, location, retention and safeguards in the agreed setup. Discovery maps the permitted owner and clinical fields, minimises access and records the agreements for the clinic and its adviser to review.
That is defined and tested before connection. The clinic approves the minimum fields for each workflow, access is logged, and the pilot verifies that the assistant cannot retrieve records outside that scope. No access level or data location is assumed in advance.
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. The system is built so the team stays: it replaces no one, it takes the repetitive work off their plate.
Tier 1 Bridge: ~7 days from sign-off. Tier 2 Augment: ~14 days. Tier 3 Migrate: 3-4 weeks including full data migration.
An AI receptionist identifies itself as a virtual assistant, records the administrative reason for the call and follows the clinic's approved script. It does not assess urgency. When a trigger appears, it gives the approved safety instruction and routes the caller to the channel set by the clinic.
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. The setup is validated in discovery and measured against an agreed baseline.
Start with the form. We review what is holding you back and, if it makes sense, arrange a short call afterwards to define what we would build.
EBROTECH guide
Guided journeyThree questions to understand your case and point you to the next step.
