AI receptionist rollouts get sold as 'live in days' and then take six weeks because nobody wrote down what to do on which day. Here's the day-by-day checklist that makes a 7-day rollout actually happen.
The reason most AI receptionist deployments slip from "live in a week" to "live in two months" isn't the technology. It's the lack of a clear, written-down sequence of tasks with names attached. When the office manager doesn't know what to do on day three, day three becomes day eight. When the doctor doesn't know what configuration decisions are theirs to make, those decisions wait for a Friday meeting that gets canceled. This checklist is what a clean 7-day rollout looks like — used in dozens of dental practices, not theory.
Before Day 1, the vendor should run a 60-minute prep call. The goal is to know what configuration decisions are coming, who at the practice owns each decision, and what data the vendor needs from you. The output of this call is a one-page implementation brief.
If your vendor doesn't run a prep call before kickoff, ask why. The good ones do.
Day 1 is the kickoff meeting plus the start of discovery. 90 minutes total. Stakeholders: practice owner, office manager, vendor's implementation lead.
Owner action: by end of day, send the vendor your provider list, operatory list, fee schedule, and current new-patient intake script.
Day 2 is when the PMS integration gets connected. This usually involves a developer key (Open Dental), a certified integration setup (Dentrix), or a database connector (Eaglesoft).
Office manager action: verify that test bookings appear correctly in your PMS. Flag any field mismatches (provider name spelled differently, operatory IDs).
Day 3 is the dental-specific tuning. The AI gets configured for your practice's voice — literally and figuratively.
Practice owner action: sign off on the conversation flows. Listen to a sample call. Approve or request changes.
Day 4 is the insurance and eligibility work, which is the highest-leverage part of the configuration.
Front-desk action: walk through the verification scripts with the implementation lead. Flag any payer-specific quirks (Cigna's frequency limits, Anthem's preventive definitions).
Day 5 is the dry run. The AI is configured but not yet live to patients. The team practices.
Team action: generate a list of edge cases that didn't go well in testing. The vendor fixes them before Day 6.
Day 6 is when the AI starts handling real calls — but only the overflow. Your front desk still handles the primary line. The AI catches calls that ring through after the second ring, plus the after-hours queue.
The most common Day 6 issue is the AI booking patients for an operatory or provider who shouldn't take that appointment type. This is almost always a configuration miss from Day 1, fixable in 30 minutes once spotted.
Day 7 is full deployment. The AI is now the primary answering layer for the lines you've designated. Your front desk handles in-person, plus the calls the AI escalates.
Owner action: celebrate. You're live. The next phase is optimization, not implementation.
After launch, here's the cadence that keeps the AI improving:
The AI you launch on Day 7 is not the AI you'll have on Day 30. The first month is when the rough edges get sanded — and the practice that does the sanding gets the better product.
The most common reasons a 7-day rollout slips: discovery on Day 1 was rushed and configuration decisions weren't documented; the practice owner wasn't available for sign-off on Day 3; PMS integration credentials weren't ready before Day 2; team didn't actually run the dry-run on Day 5. None of these are technology problems. All are calendar discipline problems.
The vendors that hit 7-day rollouts consistently are the ones that send a written agenda for each day, escalate when a step slips, and won't let you go live before the dry run is clean. Aria's rollout follows this exact cadence; we'd rather hold a launch by 48 hours than ship something half-tuned.
Book a kickoff call. We'll send the day-by-day implementation brief before the call so your team knows what to expect.
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