Never miss a call again. Never spend 3 hours on the phone.
Busony designed and built Versatik: a multimodal AI agent — voice and chat — that handles all inbound communication flows for veterinary practices, 24/7, while preserving the identity and warmth of each clinic.
The problem
The veterinary profession faces a structural tension: rising pet ownership, stagnating practitioner numbers, high vet assistant turnover.
calls received per day in an average practice — the majority being repetitive requests.
spent daily by vet assistants on the phone — time taken away from reception and in-consultation assistance.
no-show rate without automatic reminders — one lost consultation in six.
The Versatik solution
A multimodal AI agent — voice and chat — custom-configured for each practice.
24/7 AI voice receptionist
The agent responds in natural language, conducts a real conversation and acts: books an appointment, sends a confirmation, transfers an urgent call. The client perceives an interaction with their practice — not with a generic outsourced service.
Intelligent emergency triage
The agent distinguishes urgent requests from routine ones using a decision tree configured with the team. Automatic detection of critical signals: dyspnea, poisoning, trauma, difficult birth, acute neurological condition.
Intelligent appointment booking
The agent identifies the consultation reason and manages all internal constraints: duration adapted by consultation type, surgical slots reserved, specific practitioner management in multi-vet practices.
Automated post-consultation follow-up
After surgery or a sensitive consultation, Versatik automatically triggers personalised follow-up sequences for each animal and situation.
Automatic reminders and follow-ups
Appointment reminders (D-2, D-1, H-2) by SMS or email to reduce no-shows by 30 to 50%. Follow-ups for periodic treatments, annual vaccinations and health checks recommended by age and species.
Web chat channel
Alongside the voicebot, a chatbot agent is integrated directly on the practice website to respond to visitors in real time, qualify the request and offer a slot — 24/7.
Observed results
of calls handled without human intervention
missed call rate (vs 25–30% before)
vet assistant phone time per day (vs 2–3h)
no-shows thanks to automatic reminders
average diary fill rate improvement
return on investment from the 2nd month
Before / After Versatik
| Metric | Before | After |
|---|---|---|
| Calls handled without human | < 20% | 70–85% |
| Missed call rate | 25–30% | < 5% |
| Vet assistant phone time | 2–3h/day | < 45 min/day |
| No-show rate | 8–15% | 4–7% |
| Diary fill rate | Baseline | +15 to +25% |
| ROI | — | From 2nd month |
Full customisation
Every Versatik deployment is custom-configured for the practice.
Practice identity
The agent introduces itself in the practice's name, with practitioner names, specialties and species treated. The client perceives their own practice, not an external service.
Tone and style
Formal or warm register depending on the practice culture. The agent adapts to how you speak to your clients.
Internal protocols
Custom triage, scheduling rules, emergency management specific to the practice. Every rule is configurable.
Multilingual
French, English, or a multilingual combination depending on the clientele. Ideal for practices in tourist areas or with international clients.
What Versatik does NOT do
Versatik is positioned exclusively on automating reception and client communication.
- ✗ No radiographic or ultrasound analysis
- ✗ No differential diagnosis
- ✗ No therapeutic suggestions
- ✗ No animal medical record management
This boundary is deliberate: Versatik's scope is inbound flow management, not clinical decision-making.
Deployment
Initial audit
Analysis of call flows, reasons, internal protocols and existing tools.
Configuration
Tone, scenarios, triage rules and calendar integration setup.
Testing & calibration
Test phase on a limited scope (out-of-hours calls), iterative adjustments.
Production
Full deployment with daily monitoring in the first weeks. Go-live < 2 weeks.
Tech stack
Questions about this project
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