Insights & Reports
Data-driven analysis of veterinary clinic operations, AI adoption trends, and the metrics that matter for practice growth.
The Phone-First Series
A series on getting a veterinary clinic's phone line right — routing, queues, texting, measurement — and where AI actually helps once it is. Best read in order.
- Get the phone line right first: what a veterinary clinic should fix before it adds AI A clinic's phone system should route, queue, text, and measure calls before it adds AI. What a good phone line includes, and why it comes first.
- The 35% problem: what one clinic's phone data showed before and after putting AI on the line One general practice's line: about 160 calls a day, 35% never answered by a person — then nearly 2,000 interactions, over 1,000 transfers with context, and a 4.3% opt-out.
- Where AI actually helps on a veterinary clinic's phone line (and where it shouldn't) The 4 moments AI helps on a clinic phone line, what a good AI phone system does at each, what it hands to staff, and where it should not be.
- Phone tree examples for veterinary clinics (with scripts) 4 example phone trees for veterinary clinics with exact scripts, 8 auto attendant rules for call routing, and 5 receptionist phone scripts to match.
- Call abandonment rate for veterinary clinics: what's normal and how to measure yours Most clinics have never seen their call abandonment rate. The formulas, the benchmarks that exist, one clinic's real numbers, and how to measure yours.
The State of AI in Veterinary Medicine: Three Waves
How AI actually entered veterinary medicine — diagnostics from 2019, AI scribes from 2023, and the front-office wave now underway — with the adoption data behind each wave.
Key Findings
- Three overlapping waves: diagnostics, documentation, the front office
- 39.2% of veterinary professionals use AI at work (AJVR, convenience sample)
- What to ask a vendor, by which wave the tool belongs to
From Systems of Record to Context-Aware Agents
Rethinking front-office AI in veterinary medicine — from communication tools to context-aware agents that understand the patient, the plan, and the safest next step.
Key Findings
- The five-layer model behind a true AI front office
- ~80% of after-hours calls are administrative, not emergencies
- A conservative safety model built on retrieval over invention
From After-Hours Coverage to a 24/7 AI Front Office
How clinics save staff time by starting with after-hours AI coverage and expanding into full 24/7 AI front-office support across calls and texting.
Key Findings
- 80%+ of routine front-office communication is administrative
- Fewer than 10% of routine scheduling requests need staff
- Basic functionality live within 48 hours
After-Hours at the General Practice
What pet owners call about when your clinic is closed — insights from 6 months of AI-handled calls across general practice veterinary clinics.
Key Findings
- 42% of after-hours calls are simple FAQ questions
- 79% of FAQ calls resolved without staff involvement
- 97% of callers rated neutral-to-positive sentiment