White-Label AI Voice Receptionist Lessons from Real Deployments?

I’m building a white-label, voice-only AI receptionist for medical and dental offices that agencies can resell under their own brand. It answers questions from the clinic’s website (RAG), logs calls to a simple CRM, and escalates to a human for emergencies or uncertainty.

For anyone who’s deployed AI voice agents at scale (especially white-label):what are the biggest real-world issues you ran into, and what design choices helped keep things safe, reliable, and low-support across many clients?

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