Veterinary practices lose thousands in revenue from missed calls, struggle with front desk burnout, and face challenges managing emergency triage after hours. Pet owners expect 24/7 availability, but staffing a full-time receptionist is expensive and unsustainable.
Our research indicates
Handles 100% of inbound calls
Schedules appointments automatically
Emergency triage + medical question routing
Coordinates prescription refills and reminders
Reduces front desk burnout
Increases booked appointments by 40%+
AI understands pet urgency, manages multiple vets' calendars, and sends automatic reminders to reduce no-shows
Intelligently assesses emergency situations and routes urgent cases to on-call veterinarians immediately
Never miss a call again. Our AI receptionist answers every call professionally, day or night
Automatically handles prescription refill requests and coordinates with your pharmacy workflow
Send appointment confirmations, vaccine reminders, and post-visit follow-ups via SMS and email
Connect with the tools you already use
Cornerstone
ezyVet
AVImark
Impromed
Vetspire
Shepherd
RingCentral
Twilio
Explore our features and resources
Our AI is trained on veterinary emergency protocols and can quickly assess the urgency of situations. It asks targeted questions to determine if immediate care is needed and routes urgent cases to your on-call veterinarian instantly via text, call, or page.
The AI is trained to recognize when questions require veterinary expertise and will politely inform the client that a veterinarian will call them back, then immediately notifies your team with the client's question and contact information.
Most practices are up and running in under 5 minutes. We provide a simple onboarding wizard that connects to your existing systems and configures your AI receptionist based on your practice's specific needs.
If the AI encounters a situation it can't handle confidently, it gracefully transfers the call to your human staff or takes a detailed message with callback information. We continuously improve the AI based on these edge cases.