What does a traditional answering service actually do?
An operator — usually at a call center serving many businesses — answers with your practice's name, follows a script, takes a message, and relays it by text or email. Better services can page an on-call contact for emergencies. Pricing is typically per-call, per-minute, or tiered monthly.
What they structurally can't do: see your practice management system. The operator doesn't know whether Tuesday at 2 is open, whether you take the caller's insurance, or what a new-patient exam involves at your office. Every call — even "are you open Friday?" — becomes a message for your team to return. For after-hours emergencies with a paging protocol, that model works. For the 9pm new patient who wants to book a cleaning, it means phone tag, and phone tag loses a meaningful share of those patients.
What are the alternatives?
| Option | Resolves or records? | Typical cost shape | Best for |
|---|---|---|---|
| AI receptionist (Salva, Arini, Dentina, Viva) | Resolves — answers questions from your configuration, books into your PMS, escalates emergencies | Flat monthly (Salva publishes $79–$599/mo; some vendors quote-only) | Practices that want calls handled, not just logged |
| Human answering service | Records — messages + emergency paging | Per-call/per-minute; varies widely | Strict "human voice only" preference; emergency paging protocols |
| Extended front-desk hours / more staff | Resolves, with the best judgment available | A part- or full-time salary plus benefits | High-volume practices where the phone alone justifies headcount |
| On-call staff forwarding | Resolves emergencies only | Free, paid in staff goodwill | True emergencies; unsustainable for routine calls |
| Voicemail + callback SLA | Records, if the caller cooperates | Free | Existing-patient routine calls; weakest for new patients |
When is an AI receptionist the better choice?
When most of your missed calls are routine and bookable — new-patient inquiries, scheduling, hours/insurance questions. A well-configured AI answers those completely: it knows your services, hours, and FAQs, and with a PMS connection it books a real appointment during the call instead of leaving a note for the morning. Modern versions hand anything sensitive to a human path — Salva's Smart Handoffs live-transfer or take a message on the topics you choose, and emergencies always escalate.
The honest caveats: an AI is only as good as its configuration (budget an hour to set up FAQs and rules, then refine from transcripts), and vendors differ meaningfully on pricing transparency and PMS coverage — our full comparison covers the four main options.
When is a human answering service still the better choice?
Three honest cases. If your compliance or personal preference demands a human voice on every call, that's dispositive. If your after-hours volume is almost entirely emergency triage with a paging protocol you trust, a service that pages the on-call dentist does that job well. And if your PMS isn't one an AI can write to, the AI's biggest advantage (real booking) shrinks — though AI still answers questions and captures structured callbacks better than a message pad.
When is more staff the better choice?
When your daytime phones are already overwhelmed. AI and answering services fix coverage gaps; they don't replace the judgment, warmth, and multitasking of a good front desk during working hours. If patients at the counter are waiting while the phone rings hot at 11am, that's a staffing question first. (Our cost comparison: dental receptionist cost vs AI — spoiler: they solve different problems.)
How should you decide?
Pull one week of your phone log and sort missed calls into three buckets: bookable (new patients, scheduling), routine questions, and emergencies. Mostly bookable → an AI receptionist pays for itself with a small number of saved bookings. Mostly emergencies → a paging protocol (human service or AI, both work). Mostly daytime overflow → staffing. If you're on Open Dental, you can run Salva on a 14-day trial against that same week's call pattern and compare with real data instead of a sales pitch.
Published July 4, 2026