Custom-Built, Not Plug-and-Play

Custom AI Onboarding Timeline: About a Week, Setup to Go-Live

See how MedReception AI onboarding takes most practices from signup to go-live in about a week: custom script build, EMR integration (usually 1 to 3 days), and texting registration.

Section 1

Why onboarding takes about a week, not minutes

MedReception AI is not a plug-and-play phone tree with your logo on it. Every deployment is custom-built for the practice it serves: your scripts, your triage and escalation rules, your provider routing, your scheduling policies, your brand voice. That build work is why onboarding takes about a week rather than an afternoon, and why the finished product answers like your front desk instead of a generic bot. The arc is consistent across practices. The first step covers discovery and configuration. The second step covers script review and live testing with your team. EMR integration runs in parallel and is usually ready in one to three days. Go-live happens once you have approved every script and every routing rule. Here is what each phase involves and what your team will need to contribute.

Section 2

Step 1: discovery and configuration

Onboarding starts with a structured discovery session led by Bailey, our onboarding AI, and the human team behind her. We gather the details that make your practice yours: provider names and schedules, appointment types, refill and referral policies, after-hours protocols, which symptoms trigger escalation, and how urgent calls should reach a clinician. We start from one of our specialty templates, then rewrite it around your answers rather than asking you to adapt to ours. Payer-related questions are configured here too: the AI is set up to recognize calls about Medicare, Medicaid, VA, or TRICARE, route them to the right staff member, and capture the caller's question in a structured summary. It never gives coverage or billing advice; that stays with your team. By the end of this phase you have a draft configuration covering Katie for instant answering, Annie for after-hours, and Victoria for voicemail summaries.

Section 3

Step 2: script review and live testing

Nothing goes live without your sign-off. In this phase you review every script the AI will use: greetings, scheduling flows, triage questions, escalation language, and the exact wording callers hear when a call is routed to a human. You mark up anything that sounds off, and we revise until it reads like your practice wrote it. Then we test. Your team places real calls covering the scenarios that matter: a new patient wanting an appointment, a caller describing urgent symptoms, a routine refill request, an after-hours voicemail. You hear the AI answer right away, watch it route by provider and urgency, and see the structured summaries it produces in a format your staff can paste into your EMR. The AI never makes clinical decisions or changes a chart on its own; it routes and escalates, and clinicians decide. Testing continues until your team is satisfied, not until a calendar says so.

Section 4

EMR integration: how it fits the week

EMR integration runs alongside script work. We integrate with athenahealth, eClinicalWorks, Elation, Cerbo, Hint, Tebra, ModMed, Practice Fusion, Jane, Office Ally, TherapyNotes, Accuro, pMD, PS Suite, and Nextech. For each of them, integration usually completes in one to three days; registering your number for patient texting takes about five business days, which is why most practices launch in about a week. Integration is what lets Sallie handle scheduling against your actual calendar and lets call summaries land where your staff works. One design decision matters here: MedReception AI is EMR-independent. We integrate with your EMR rather than living inside it, so if your practice switches systems, your trained AI, with its scripts, routing rules, and accumulated tuning, comes with you. EMR-bundled phone tools can be convenient, but they generally stay behind when you change platforms. Compliance is handled throughout: in the US, MedReception AI is HIPAA compliant (verified by Compliancy Group) and signs a BAA, with PIPEDA and PHIPA in Canada, and the Privacy Act and APPs in Australia.

Section 5

Go-live and what happens after launch

Go-live is deliberately uneventful. Your number forwards to the AI, Katie starts answering right away, and unlimited simultaneous call capacity means a Monday-morning surge no longer produces hold music and hang-ups. Annie covers nights and weekends, Victoria turns any voicemail into a structured summary, and multilingual support is live from day one. Our team monitors early calls closely and tunes anything that needs it. Onboarding ending does not mean support ending. Every MedReception AI client gets free lifetime edits and optimization: a new provider joins, a policy changes, you want a triage question reworded, and we make the change at no cost, forever. Your AI keeps improving without a change-order invoice. If you want to see what your own onboarding would look like, with your EMR, your specialty, and your call patterns, book a MedReception AI demo and we will walk you through a timeline built for your practice.

See the AI medical receptionist in action

MedReception AI answers every call right away, books appointments, and routes urgent needs, 24/7 and HIPAA compliant (verified by Compliancy Group). Book a demo and hear it handle your real calls.