Healthcare AI Vendor Evaluation AI Front Desk HIPAA Readiness PMS Integration EigenH

How to Evaluate an AI Front Desk: 20 Questions Dental Practices Should Ask a Vendor

A practical evaluation checklist for practice owners comparing AI front desk products: call handling, scheduling rules, escalation, HIPAA readiness, PMS integration, reporting, and how to structure a pilot.

EigenH Team

The AI front desk category has moved fast, and the marketing has moved faster. Every product now claims to answer every call, delight patients, and fill your schedule. From the outside, the demos look identical.

The differences that matter show up in operational details: what happens when a caller is upset, whether the appointment actually lands in your schedule, who can read the transcript, and what the vendor signs. Those details are exactly what a structured evaluation surfaces.

Here are 20 questions, grouped by topic, that separate a working product from a polished demo. If you first want grounding on what these systems do, start with our complete guide to AI voice agents for dental offices, then come back with your shortlist.

Call handling: questions 1–5

  1. Can I hear it handle a live, unscripted call? Not a recorded demo. Give it a realistic scenario from your own front desk, including an interruption or a topic change mid-call.
  2. Does it identify itself as an AI? Patients should not be tricked, and in some states call handling and recording carry disclosure requirements. Ask how the vendor handles disclosure by default.
  3. What does it do when it doesn’t understand? The honest answers involve asking again, then escalating with context. Be suspicious of any implication that the agent always understands.
  4. How does it handle an emergency call? A patient describing severe pain, swelling, or trauma must reach a human path immediately. Ask to see the escalation triggered.
  5. What does the caller experience at 2 AM on a Sunday? Coverage claims are easy; call the vendor’s own demo line after hours and find out.

Scheduling rules: questions 6–9

  1. Where do my scheduling rules live, and who can change them? Appointment types, durations, provider availability, and policies should be explicit configuration your office controls.
  2. Can it schedule during the call, or does it take a message? Message-taking is an answering service. The value is in completing the task while the patient is on the line.
  3. What can it never do? A good vendor has a clear list: no clinical advice, no scheduling outside approved rules, no quoting treatment fees. A vendor without such a list hasn’t thought about it.
  4. How are reschedules and cancellations handled, and does the freed slot become visible for refill?

HIPAA readiness: questions 10–13

A voice agent hears protected health information on nearly every call. Treat this section as non-negotiable.

  1. Will you sign a Business Associate Agreement? If the answer is anything but a plain yes where applicable, stop the evaluation.
  2. Where do recordings and transcripts live, and for how long? Ask about storage location, encryption, retention period, and deletion.
  3. Which subprocessors touch patient data? Voice AI products are typically built on underlying speech and language providers. You are entitled to know who is in the chain.
  4. Who at the vendor can access my patients’ calls, and is that access logged?

One caution on language: a certifying body for “HIPAA certified” software does not exist, so treat that phrase as a marketing claim. What you can verify is a signed BAA, documented safeguards, and a product designed to support HIPAA-regulated workflows.

PMS integration: questions 14–16

  1. What exactly do you read from my PMS, and what do you write? “Integrates with” spans everything from live two-way scheduling to a spreadsheet export. Make the vendor be specific.
  2. Which systems are live today versus planned? Ask for the distinction explicitly, and ask for a reference practice on your PMS.
  3. What happens when the integration is down mid-call? The right answer is a graceful fallback: capture the request, notify staff, reconcile later. The wrong answer is silence.

Reporting and accountability: questions 17–18

  1. Can my team review every call? You should see the transcript or summary, the caller’s intent, the outcome, and the next step for every interaction, not a monthly rollup.
  2. What metrics does the dashboard actually report? Calls answered, appointments scheduled, escalations, and recall outcomes are measurable. “Patient satisfaction improved” without a measurement method is decoration.

Commercials and pilot: questions 19–20

  1. How does pricing scale, and what triggers overage? Per-call, per-minute, per-location, and flat models all exist. You don’t need the cheapest; you need one you can predict from your own call volume.
  2. Will you run a scoped pilot with a decision date? Define the scope (after-hours only is a good start), measure a baseline first, pick two or three metrics, and set the date you’ll decide. We published a full rollout sequence in our 30-day rollout playbook.

Scoring your shortlist

You don’t need a weighted spreadsheet. Sort vendor answers into three piles: specific and demonstrated, specific but unverified, and vague. A vendor with mostly pile one earns a pilot. A vendor with a vague answer anywhere in the HIPAA section earns a pass, no matter how good the demo sounded.

EigenH publishes what its agents do and honestly labels what is live versus planned, and we’re happy to be put through all 20 questions. Book a demo and bring the hardest calls your front desk took this week.

Frequently asked questions

What should a dental practice ask an AI front desk vendor about HIPAA?
Ask whether the vendor will sign a Business Associate Agreement, how call recordings and transcripts are stored and for how long, which subprocessors touch patient data, and how access is controlled and logged. Be wary of vendors who answer with a compliance badge instead of specifics.
How do I know if an AI receptionist really integrates with my PMS?
Ask what the integration reads, what it writes, and what happens when the connection fails mid-call. 'Integrates with your PMS' can mean anything from live schedule writes to a nightly export. Have the vendor demonstrate an appointment landing in a schedule, and confirm which systems are live today versus on a roadmap.
Should I pilot an AI front desk before rolling it out?
Yes. A good pilot has a defined scope such as after-hours calls only, a baseline measured before launch, two or three named metrics like calls answered and appointments scheduled, and a scheduled decision date. A vendor confident in the product will welcome that structure.
What are red flags when evaluating AI front desk vendors?
Guaranteed revenue numbers before seeing your call volume, compliance claims without a BAA, no way to review call transcripts, vague answers about what happens when the AI is unsure, and pricing that can't be explained simply. Any one of these is worth pausing on.

EigenH

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