How does the AI receptionist learn about my specific clinic?

During onboarding, Linea is configured with your clinic's services, providers, appointment types, hours, common patient questions, and scheduling rules. It's connected to your practice management system so it books with live availability, not guesses. Most clinics are fully trained and live within 24 hours.

Do I need to write scripts or train the AI myself?

No. The Linea team handles the setup and configuration based on an intake conversation with you -- you don't need to write scripts, build flows, or have any technical expertise. You review and approve the agent before it goes live.

What if my clinic's hours, providers, or services change later?

You can request updates at any time -- new providers, changed hours, new services, or updated policies are reflected quickly, so the AI never operates on outdated information.

How Does the AI Know About My Clinic? Inside Linea's Onboarding

Short answer

Linea is custom trained on your specific clinic during onboarding -- your services, providers, appointment types, hours, scheduling rules, and common patient questions -- and connected directly to your practice management system for live availability. It's not a generic script. You don't have to build anything yourself, and most clinics are fully live within 24 hours.

This is the second most common question we hear, right after "can patients still reach me." And it makes sense -- an AI that answers your phone with a generic, one-size-fits-all script would be worse than no AI at all. Patients would notice immediately, and it would damage trust rather than build it.

So here's exactly what happens before your AI receptionist ever takes a real call.

Step 1: We Learn Your Clinic, Not the Other Way Around

Onboarding starts with an intake conversation about your clinic -- not a form you fill out alone. We walk through:

Your services and appointment types (hearing evaluations, hearing aid consultations, fittings, adjustments, tinnitus assessments, repairs, and anything else specific to your practice)
Your providers -- names, specialties, and which appointment types each one handles
Your hours, including any location-specific variations
Scheduling rules -- appointment lengths, buffer times, which slots require which provider
The questions your front desk answers most often, and how you want them answered
Your escalation preferences -- who gets a live transfer, and for what (see our escalation routing guide for more detail)

This is what makes the difference between an AI that sounds like it belongs at your clinic and one that sounds like a call centre reading a script. Every detail comes from you.

Step 2: Direct Integration With Your Practice Management System

Knowledge alone isn't enough -- the AI also needs to see real availability. Linea connects directly to your existing scheduling or practice management software. For audiology clinics, that means a live, direct integration with CounselEar or Blueprint OMS (Sycle is supported too), so when a patient books an appointment on a call, it's checked against your real schedule and written directly into your system -- not held in some separate tool your staff has to reconcile later.

Step 3: You Review Before It Goes Live

Before Linea ever answers a real patient call, you get to hear it in action and review how it handles common scenarios. If something needs adjusting -- tone, specific wording, how a particular question gets answered -- it's refined before launch, not after a patient has a bad experience.

Step 4: Fast, Because It Has To Be

A complicated setup that takes weeks isn't realistic for a busy clinic, so we don't do that. Most clinics are fully configured and live -- answering real calls -- within 24 hours of completing onboarding. There's no new software for your team to learn and no disruption to how your front desk already operates day to day.

What If Things Change?

Clinics aren't static -- providers join, hours shift, new services get added. Whenever that happens, you can request updates and they're reflected quickly, so the AI is never working from outdated information about your practice. This also directly connects to a related concern many owners have: does the AI actually get better over time, or does it stay frozen at launch? It doesn't stay frozen -- and that's covered in detail in that post.

See How Onboarding Would Work for Your Clinic

Book a 30-minute demo and we'll walk through exactly what onboarding looks like for your specific practice.

Book a Demo