Most AI receptionist demos are impressive, because demos are built to be. This checklist exists to get you past the demo. It covers the 7 areas where products in this category actually differ: clinical safety, scheduling depth, integration, compliance, reliability, economics, and proof. Questions marked as dealbreakers are the ones where a weak answer should end the conversation for a medical practice, whatever the price.
1. Clinical escalation and safety
Why it matters: this is the difference between a receptionist and a liability. Weak answers here disqualify a vendor for any practice with post-op or clinical calls.
- Walk us through, step by step, what happens when a post-op patient calls at 11 p.m. with a fever and worsening pain. (Dealbreaker)
- How does the system distinguish a clinically urgent call from a routine one, and who designed that logic? What is their clinical background?
- How does an urgent call reach our on-call clinician: what channel, how fast, and what does the clinician receive?
- What happens if the on-call clinician does not respond? Is there a fallback chain?
- What does the system explicitly refuse to handle, and how does it hand ambiguity to humans?
- Does the AI ever give medical advice, symptom interpretation, or medication guidance? (Correct answer: never)
- Is every escalation documented with a timestamped record we can produce later?
2. Scheduling depth
Why it matters: "we take a message and your staff calls back" converts a missed-call problem into a callback-queue problem. Callback queues leak patients.
- Does the system book, reschedule, cancel, and confirm directly on our live schedule, or does it collect callbacks? (Dealbreaker)
- Can it enforce our scheduling rules: visit types, provider and location matching, new-patient vs. established slots?
- For surgical practices: does it understand global periods, so a post-op check is not booked as a new billable visit?
- Can it handle injection series spacing and procedure-specific slot rules?
- How does it handle a caller who needs a specific subspecialist rather than "any provider"?
- What happens when the schedule is full: waitlist, alternative location, or dead end?
3. EMR and systems integration
Why it matters: summaries in a separate portal become a second inbox nobody checks by week 3.
- Which EMRs do you integrate with today, in production, not on the roadmap? (Get the list in writing)
- Where do call summaries land: EMR messaging, fax, email, or your own portal?
- Does scheduling write directly to the EMR schedule or to a shadow calendar that staff reconciles?
- How are referrals captured and documented: demographics, insurance, imaging status?
- How is workers' comp intake handled: claim number, adjuster, employer, authorization status?
- Can call recordings and transcripts be exported if we ever leave?
4. HIPAA and compliance
Why it matters: an AI vendor without a real compliance posture makes their breach your breach.
- Will you sign a Business Associate Agreement, and can we see your standard BAA now? (Dealbreaker if hesitant)
- Where is call data stored, for how long, and who at your company can access it?
- Is PHI used to train models, and can we opt out in writing?
- What third parties (transcription, telephony, LLM providers) touch our call audio, and do you have BAAs with each?
- Describe your breach notification process and timeline.
- What certifications or audits can you show: SOC 2, HITRUST, penetration tests?
5. Reliability and patient experience
Why it matters: the phone is your front door; an outage or a robotic dead end is a patient walking away.
- What is your uptime history, and what happens to calls if your system goes down: busy signal, voicemail, or failover to a human line?
- How many languages are supported, and how does language detection work mid-call?
- How does a caller reach a human if they ask for one? How many steps?
- What is the average time-to-answer, and does it degrade under concurrent call load?
- Can we listen to real (redacted) production calls, not demo recordings?
- How do we review calls, flag errors, and get agent behavior corrected, and how fast are corrections live?
6. Economics and contract
Why it matters: per-minute pricing punishes exactly the months when the service is most valuable.
- Is pricing flat monthly or metered per call/minute? What does a heavy month cost?
- Are after-hours, weekend, or holiday calls surcharged?
- What are the implementation fee, timeline, and our staff hours required to go live?
- What is the contract term, and what does exit look like: notice period, data export, number portability?
- What does your typical customer of our size and specialty look like? (Listen for whether you would be their smallest or largest account)
7. Proof
Why it matters: many vendors claim your specialty in marketing without a single named customer in it.
- Provide 2 references from practices in our specialty and size range, with numbers.
- What measurable results do those references report: answer rate, booked appointments, recovered referrals, cost change?
- Can we run a live test against your production system today, unscripted? (A vendor confident in their agent will say yes)
- Who on your team has worked in a medical practice: clinical or front-desk operations?
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Put ClinicFlow through the checklist
We built this checklist because we win on it. Every dealbreaker question above has a written answer in our documentation, and you can run the unscripted live test right now.
Or call the live demo line: (281) 502-8583