How it works
How it works
No model improvises on your calls. A deterministic controller decides every line, so the receptionist says what your practice approved and nothing else.
Answering
The receptionist joins the call the moment it arrives and greets in the practice's name, saying plainly that it is an AI assistant. It picks the language from the caller's first words and switches if asked.
- Answers on the first ring, at any hour
- The caller's language, with a clear notice for the ones not live yet
- Never pretends to be a person
Identity
Before anything about a visit is said, the caller is matched by name, date of birth and phone. A caller who declines a date of birth is still helped, and the note goes on the record for the front desk.
- Existing patients matched to your list
- New patients registered with consent to text
- Outbound calls verify identity before disclosing anything
Screening
A concern is routed to the right form: post-op, spine, chest, pregnancy, the child with a fever. Each form is a short set of yes-or-no questions written for your specialty and approved by your clinician.
- Routine answers book a visit
- Urgent answers page the on-call with a secure link
- Emergency words stop everything and give 911 instructions
Scheduling
Visits are booked on your real providers, visit types and rules: durations, lead times, late-cancel policies, new-patient slots. Confirmations go by text; cancellations offer the slot to the waitlist in order.
- Book, move, cancel, confirm
- Waitlist offers in order
- Outbound reminder and confirmation campaigns
Your staff
Everything lands in one dashboard: the schedule, the inbox of tasks, every call with its summary, escalations with acknowledgement, reports and the bill. Roles decide who sees what, with a second factor for staff.
- Tasks claimed and resolved with a trail
- Call summaries, transcripts by policy, recordings by consent
- Reports on pickup, outcomes, safety and cost
Learning
Calls are graded. Real calls, once de-identified and only where the practice allows it, and scripted calls both feed a review queue. Proposals are applied by a person through the registry, never by the system on its own.
- Grades on every call
- Proposals reviewed on the Learning screen
- Nothing changes without a person
A clear route to a person.
Agree the destination, the context staff receive, and what happens if nobody is available.
While the practice is open
A caller can ask for a person. The configured front-desk number is the transfer destination; your team supplies the human coverage. Test that line and its unavailable-call fallback.
When the practice is closed
Routine requests become callback tasks. Urgent concerns follow clinician-approved escalation rules, with an on-call contact, backup, and final practice contact.
Before you forward live calls.
The setup is complete when the workflow works for your practice, including the cases that need a person.
- Confirm providers, practice hours, holidays, visit types, appointment lengths, and booking restrictions.
- Approve routine answers, screening questions, and escalation rules with your clinicians.
- Verify the front desk, on-call rota, backup contact, and acknowledgement deadline.
- Complete the BAA and review access, recording, storage, retention, and learning permissions.
- Validate EHR access and scheduling operations, or agree how staff reconcile the dashboard schedule.
- Test booking, a full schedule, a caller asking for a person, urgent routing, and a missed acknowledgement.
- Start with an agreed coverage window, review real call outcomes, and expand after the team signs off.
The details before go-live.
Can a patient still speak to a real person?
Yes. During practice hours, a request for a person routes to the configured front-desk number. Outside those hours, a routine request becomes a callback task for your team. Urgent concerns follow the clinician-approved escalation protocol. Human availability depends on your staffing and forwarding setup; Callinzo does not supply a separate 24-hour clinical team.
What happens if the AI misunderstands a caller or cannot help?
The caller can ask for a person. Requests that cannot be completed within the approved workflow go to staff through a transfer or follow-up task, depending on whether the practice is open. The team can review the call outcome and collected context in the dashboard. Before launch, test unclear speech, corrections, unsupported requests, and an unavailable front desk so the fallback is clear to callers and staff.
What do we need to prepare before launching an AI receptionist?
Bring your provider roster, hours and holidays, visit rules, approved patient answers, phone-forwarding access, front-desk and on-call contacts, and EHR requirements. Complete the agreements and privacy settings, then have your clinicians approve screening and escalation. Test routine booking, no available slots, a request for a person, urgent routing, and an unacknowledged page. Launch timing depends on these approvals and integrations, not just installing a specialty pack.
See a call end to end.
Book a demo and we will follow a call with you, from the greeting to the task it leaves behind.