Questions, Answered
How Long Does an AI Receptionist Take to Set Up? A Timeline
Most practices go live in one to six weeks depending on their EMR. See what AI receptionist onboarding actually involves, step by step.
Section 1
The short answer: one to six weeks, and your EMR sets the pace
Setting up an AI receptionist runs on two parallel tracks: configuring how calls are handled, and connecting to your EMR or practice management system. The first track is fast. Call flows, greetings, routing rules, and escalation logic can usually be built and reviewed within the first week, because MedReception AI starts from specialty templates, with more than thirty specialties covered, rather than a blank page. The second track sets the overall pace. Practices on athenahealth or eClinicalWorks often complete EMR integration in one to three weeks. Practices on Epic, Elation, Cerbo, Hint, Tebra, AdvancedMD, or ModMed typically land in the three-to-six-week range, since those connections involve more vendor coordination and configuration. The two tracks are independent: the AI receptionist can begin answering, routing, and summarizing calls before the EMR connection is finished, so phone coverage does not have to wait on integration work.
Section 2
Week one: configuring how your calls should be handled
Onboarding begins with a structured intake led by Bailey, the MedReception AI onboarding assistant, working alongside a human implementation contact. This is where your practice's real-world rules get captured: which providers take which patient types, how calls involving urgent symptoms should be routed and escalated, what counts as an after-hours emergency versus a next-day callback, and which requests, such as refills or referrals, follow a set script. Because the platform is built only for healthcare, you are not teaching a generic bot about medicine; you are adjusting a specialty template that already distinguishes a refill request from a chest pain call. The AI never makes clinical decisions at any point. It routes and escalates according to rules your clinicians approve, and clinicians decide. Configuration typically wraps in a few working sessions, followed by test calls reviewed before anything touches a live line.
Section 3
The EMR integration path: what happens in weeks two through six
EMR integration turns call summaries into something your staff can act on inside the chart workflow. MedReception AI integrates with athenahealth, eClinicalWorks, Epic, Elation, Cerbo, Hint, Tebra, AdvancedMD, and ModMed. For athenahealth and eClinicalWorks, integration is often complete in one to three weeks. The remaining systems generally take three to six weeks, depending on vendor timelines and how your instance is configured. If your practice runs a system not on that list, the AI receptionist still works alongside it, delivering summaries your staff pastes into the chart. A boundary worth knowing before signing with any vendor: MedReception AI never makes autonomous changes to a patient chart. Call outcomes arrive as structured, EMR-pasteable summaries that your staff reviews and files. That keeps a human in the loop on every record and simplifies the security review most practices run before connecting a third party to their EMR.
Section 4
What your team actually has to do during setup
The practice-side workload is deliberately light, because front desks already fielding heavy call volume rarely have spare hours for a software project. Expect three kinds of involvement. First, decisions: someone with authority, often the practice manager plus a physician, approves routing rules, escalation thresholds, and after-hours protocols. Second, materials: your phone tree logic, provider schedules, common caller questions, and any scripts you already use for refills or callbacks. Third, review: reading or listening to test call transcripts and flagging anything that sounds wrong before go-live. Compliance paperwork happens in this window too. US practices execute a BAA under a HIPAA-aligned program, Canadian practices are covered under PIPEDA and PHIPA requirements, and Australian practices under the Privacy Act and the Australian Privacy Principles. None of this requires clinical staff to spend hours in training; the goal is approval and review, not building the system yourself.
Section 5
Going live: a phased start, not a hard cutover
Most practices do not flip every line to AI on day one, and they should not have to. A common sequence starts with after-hours coverage through Annie, where disruption risk is lowest and the benefit is immediate, since those calls previously hit voicemail. Voicemail conversion through Victoria is another low-risk first step, turning existing messages into structured summaries. Once your team trusts the transcripts, daytime overflow and then full instant answering through Katie follow, with calls picked up in under a second and no caller hearing a busy signal, since the system handles unlimited simultaneous calls. Scheduling through Sallie typically activates once the EMR connection is live. Every phase is reversible, and escalation paths to your human staff stay in place throughout. For a realistic timeline for your specific EMR and specialty, the fastest route is a short MedReception AI demo where you can ask directly.
See the AI medical receptionist in action
MedReception AI answers every call in under a second, books appointments, and routes urgent needs, 24/7 and HIPAA-aligned. Book a demo and hear it handle your real calls.