You've decided to put an AI receptionist on the phones. Now the office manager is staring at the same questions every practice hits: which line do we point at it first, who owns the schedule connection, what happens when someone calls with a swollen jaw at 9 PM, and how do we know it's actually working before we trust it with the main number? A rushed rollout that skips protocols or never syncs the schedule properly turns into double-bookings and a front desk that doesn't trust the tool. A staged one quietly answers every call you used to miss.
This checklist breaks the rollout into clear phases so nothing important gets skipped. It's built for a practice adding DentalReception AI — which answers every call in under two rings and books, reschedules, or triages the appointment live, 24/7 — but the structure works for any AI phone agent you evaluate.
How to use this checklist
Copy these items into your project doc or a shared task list. Assign an owner and a target date to each line — most practices split ownership between the office manager (workflow and protocols) and whoever administers the practice management system (the connection). Work the phases in order; don't go live on your main number until Phase 4 is genuinely checked off. Mark each item Done, In progress, or Blocked, and review the open items in a short weekly standup until launch. Re-run the relevant sections any time you add a location.
Phase 1 — Scope and goals
Decide what "success" means before you touch a setting. A clear starting line makes the whole rollout calmer.
- We've named the primary problem to fix first (after-hours calls, lunch-hour gaps, Monday spikes, overflow).
- We've picked the first line to cover — ideally overflow or after-hours, not the main number on day one.
- We've agreed on success metrics (calls answered, appointments booked, missed-call rate).
- We've captured a baseline: how many calls go unanswered today.
- An internal owner is named for the rollout.
Phase 2 — Connect your schedule and tools
The live write-back into your schedule is what separates a real receptionist from a message-taker. This phase gets that connection right.
- Our practice management system is on the supported list (Dentrix, Open Dental, Eaglesoft, Curve Dental, or CareStack), or we've confirmed the connection path.
- The schedule sync is connected so the AI sees the same open slots the front desk does.
- Appointment write-back is tested with a few sample bookings before launch.
- Provider schedules, operatories, and appointment types are mapped correctly.
- Any other tools (telephony, SMS, CRM) are connected or noted as roadmap items.
See the full list of integrations and our implementation overview for what each connection involves.
Phase 3 — Configure protocols and routing
This is where the AI starts sounding like your practice instead of a generic bot. Get the rules right and the calls handle themselves.
- Emergency triage rules are defined — what's urgent, and exactly where it routes.
- After-hours behavior is set (book, take intake, route urgent calls to your on-call process).
- Languages are configured (English/Spanish as needed).
- New-patient intake questions match what your front desk asks.
- Transfer and escalation paths are defined for calls the AI should hand to a human.
- Greeting, hours, and practice-specific positioning are set.
Phase 4 — Test and go live
Don't trust it because the setup screen says "ready." Trust it because you listened to it handle real calls.
- We placed test calls covering booking, rescheduling, an insurance question, and an emergency.
- Each test produced a correct call summary and transcript in the dashboard.
- Bookings landed in the live schedule with no re-keying.
- The team knows how to review calls and where summaries appear.
- We went live on the chosen line and scheduled a day-one review.
Phase 5 — Monitor and expand
- We review call summaries and transcripts for the first week.
- We track answered-call and booking rates against the Phase 1 baseline.
- We've decided when to expand coverage to the main number or the next location.
- Protocols are refined based on real call handling.
DentalReception AI supports this whole arc: setup is usually a forwarding change plus a schedule sync — no new hardware, no number porting — and every call produces a summary and transcript so your team can listen from day one. Most practices are answering live within an afternoon.
Frequently asked questions
How long does implementation actually take?
For a single line, most practices are answering live within an afternoon, because there's nothing to rip out — you forward the line you want covered and connect your schedule. The longer part is usually deciding your protocols (emergency triage, after-hours routing, intake questions), and that's worth doing carefully. Larger groups and DSOs stage the rollout site by site rather than flipping every location at once. Use this checklist's phases as your timeline: scope and connect first, configure protocols second, then test thoroughly before going live on a real line.
Which phone line should we start with?
Start with a line where a mistake is low-risk and the upside is obvious — usually your after-hours or overflow line, not your main number on day one. That lets you see real results, listen to how the AI handles your calls, and refine protocols before you trust it with primary traffic. Once you've reviewed a week of summaries and confirmed bookings are landing correctly in your schedule, expanding to the main number is a low-drama change. This staged approach also makes it easy to build internal confidence with the front-desk team, who can watch it work before relying on it.
Do we need new hardware or a new phone number?
No. A core part of the implementation is that you keep your existing number, phone provider, and hardware. Going live is a forwarding change — you point the calls you want covered at the AI — plus connecting your schedule. There's nothing to port, install, or migrate, which is why the rollout is measured in hours rather than weeks. This also means you can start small and reverse course easily: covering just an overflow line commits you to nothing, and you expand only when you're satisfied with what you hear in the call summaries.
How do we know it's working before trusting it with real patients?
Test before you launch, and listen after. Phase 4 of this checklist has you place test calls across the main scenarios — booking, rescheduling, an insurance question, and an emergency — and confirm each one produces a correct summary, transcript, and (for bookings) a real entry in your live schedule with no re-keying. After go-live, review summaries daily for the first week against your baseline missed-call rate. Because every call is transcribed and summarized in the dashboard, your team has full visibility into how it's handling things and can refine protocols quickly.
How does this differ for multi-location groups and DSOs?
The phases are the same, but you run them per location and stage the rollout rather than launching everywhere at once. Start with the sites losing the most calls, prove the workflow, then replicate. Routing and reporting are centralized, so a regional manager can see performance across every office from one place. Schedule connections are set up location by location, and protocols can be standardized across the group while still allowing site-specific routing. The checklist's monitor-and-expand phase becomes your rollout engine: prove it at one site, then move to the next with a known-good playbook.