AI customer support for dental practices
Dental enquiries stall on the same three questions almost every time: is my insurance accepted, roughly what will this cost, and are you taking new patients. All three are answerable from what a practice has already published — the front desk just doesn't get the chance to say so before the caller has already tried the next practice on the list.
What dental practices deal with
Insurance questions eat the front desk's day, and a wrong answer over the phone becomes a billing dispute later.
Anxious patients delay calling about pain because they don't know roughly what a visit will cost.
"Are you taking new patients" goes unanswered outside office hours and the caller moves down their list.
How RubyRep works for dental practices
Insurance acceptance answered from a published, current list — not a guess from whoever picks up the phone.
Typical cost ranges for common procedures answered honestly, with a clear note that an exact quote needs an exam.
New patient availability and the first-visit process answered any hour, not just during opening hours.
The knowledge comes from pages you already publish:
- Accepted insurance list, kept current
- Pricing and new patient special pages
- Services and procedures pages
- New patient and appointment booking pages
Questions your visitors actually ask
- “Do you accept my dental insurance?”
- “Are you taking new patients?”
- “How much does a cleaning cost without insurance?”
- “Do you see children?”
- “What happens at a first visit?”
RubyRep for dental practices
- How current does the insurance list need to be?
- As current as you can keep it — insurance networks change, and an answer based on a stale list is worse than no answer. RubyRep reads whatever the page currently says, so the page has to be the thing that's kept up to date, the same as it would for a person answering the phone.
- Will it try to diagnose pain or a symptom?
- No — anything describing a symptom or pain routes to a handoff rather than an attempted answer. It can tell someone how to book an urgent appointment; it never reasons about what might be causing a problem.
- What about specific treatment cost estimates?
- It gives the published range and is explicit that an exact cost needs an exam — the same honest caveat a front desk would give, stated consistently every time rather than depending on who answers.
Related
tool
Website support score
Scores a website on how well it could support customers — and how well an AI representative trained on it would perform. Five dimensions, a total out of 100, and the specific gaps behind the score.
tool
Chatbot ROI calculator
Estimates the support cost an AI chatbot would remove, based on your ticket volume, handling time and loaded hourly cost — plus payback period against a monthly subscription.
use case
After-hours support that doesn't lose the lead
The gap between a question and an answer is where interest dies. Answering after-hours questions immediately — and routing the ones you can't answer to a form or booking link — keeps enquiries warm until someone is back at a desk.
use case
FAQ automation that uses your real pages
A static FAQ page ages badly and never quite matches how people phrase things. Reading your whole site instead means the answer to a question can come from wherever it genuinely lives — a policy page, a product spec, a help article.
term
What is a handoff in customer support?
Every automated support system needs a way out, and the quality of that exit matters as much as the answers. A good handoff carries the transcript, so the customer is not asked to repeat what they already typed — which is the single most common complaint about support automation, and one that is entirely avoidable.
term
What is grounding in AI?
A grounded system retrieves passages before it writes anything, puts them in front of the model, and instructs it to answer only from what it was given. The test of whether a system is grounded is simple and does not require access to its internals: ask it something, then ask it where the answer came from. A grounded system names a page. An ungrounded one describes its reasoning.
Give your website an AI representative.
It reads your site and starts answering. Around a minute to find out how good yours would be.