Onboarding

Timeline and milestones for launching AI reception at your practice

From vendor setup through go-live, here's what happens during AI receptionist onboarding: EMR integration, call routing configuration, staff training, and the first live shift.

How it pays back

Phased Rollout Reduces Risk

Start with after-hours calls or a single provider line. Your team learns the new workflow without disrupting peak-hour operations. Problems surface in a controlled environment.

Triage Logic Tuned to Your Practice

During pilot and early production, you identify which urgent keywords your practice cares about most. The system learns your escalation patterns and clinical priorities.

Staff Confidence Built Before Full Launch

Training doesn't just show staff how to use the system—it shows them how their day changes. By day 30, they're comfortable with the new workflow and can troubleshoot common issues.

EMR Integration Verified End-to-End

Before you go live, test a booking: call the AI, book an appointment, verify it appears in your EMR. By day 3, you know the integration works or what needs fixing.

EMR sync tested and verified

Appointment bookings and patient demographics confirmed in system

Triage rules customized

Urgent keywords and escalation logic aligned with clinical team

Staff training completed

Intake review, emergency escalation, and workflow changes covered

Pilot phase executed

After-hours or single-provider testing before full production

Go-live and monitoring

Real-time support and weekly tune-ups during first month

Frequently asked questions

How long does EMR integration typically take?

1-3 days for most vendors, if your EMR is in their supported list. Custom integrations or older EMR systems can take weeks. Verify this timeline upfront with the vendor before signing.

Can we start with after-hours calls only, then move to business hours?

Yes. Most practices do this. After-hours pilot lets you test triage logic, booking accuracy, and staff intake review without disrupting peak operations. Once confident, expand to full-time coverage.

What happens if the AI makes a mistake during pilot?

Log it. Don't worry. Mistakes during pilot are learning moments. You adjust the triage keywords, intake questions, or booking rules. By production, the system is tuned to your practice.

Do all our staff need to attend training?

At minimum, front desk, clinical coordinators, and one clinician should attend. Others can watch a recording. Training covers intake review, emergency escalation, troubleshooting, and how to provide feedback to the vendor.

What if patients call and complain that they're talking to a robot?

Some will. Most won't notice or care—the AI sounds natural. For those who object, they can request a transfer to a human on demand. Your staff handles it normally from there.

How often do we need to tune the system after go-live?

Weekly check-ins for the first month, then monthly. Review call logs, escalation patterns, and staff feedback. Adjust triage keywords, booking logic, or intake questions as needed.

Related reading

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See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.

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