Building Voice AI for Vertical SaaS: Lessons from Vet Clinics and Auto Shops Two industries that seem completely different β veterinary clinics and auto repair shops β have an almost identical phone problem: Staff are physically unable to answer (hands in surgery / hands in engine) High call volume (80-150/day vets, 40-70/day garages) Callers need triage, not just message-taking Missed calls = direct revenue loss (β¬6K-15K/month) Building AI receptionists for both taught us some interesting things about vertical voice AI. Domain-Specific Intent Classification Generic NLU doesn't cut it. "My dog ate chocolate" needs emergency routing. "There's a grinding noise when I brake" needs service booking + urgency assessment.β¦