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The playbook

What a deployment looks like, practice by practice.

Six scenarios across general, ortho, pediatric, endo, and multi location practices, drawn from how our agents actually work.

Straight talk: these are deployment blueprints, not client results. Nova Buzz is new to dental and we are earning our proof the honest way, by installing free in a small number of practices and publishing real numbers as they land. What we can show you today is the same agent swarm running our own company around the clock, and a live demo you can test yourself. The first real names and real numbers on this page are being earned right now.

The Nova Buzz agentic dental workflow dashboard in use in a busy dental practice — patient list, automated treatment plans, and an AI assistant working in real time
The same swarm, running live

Measured, not promised

The four numbers every pilot reports.

Before a pilot starts we agree on what success means. During the pilot, you see these numbers as they happen, not in a slide deck afterward.

Slots filled

Cancellations and gaps the agents refill from the waitlist, tagged and logged

Patients reactivated

Lapsed and overdue patients who rebook through recall and reactivation sequences

Hours saved

Admin time returned, measured against the tasks the agents absorb

Revenue recovered

Dollars tied to appointments the agents booked or saved, straight from your schedule

Scenario 01 · General dentistry

The no-show and recall leak

General dentistry

A practice with 6 operatories and 14 staff

Agents deployed

  • Marcus, scheduling agent
  • Sofia, recall agent

The problem

Last-minute cancellations leave holes in the schedule nobody refills. The recall list holds 200 plus overdue hygiene patients nobody has time to chase.

The deployment

Marcus confirms every appointment, reminds patients, and refills cancellations from the waitlist directly into the schedule. Sofia runs a 30 day SMS plus email sequence on the overdue hygiene list.

What the pilot measures

Cancellations refilled, hygiene columns kept full, and a clean record of every booking.

Scenario 02 · Orthodontics

The dormant recall list

Orthodontics

A practice with 4 chairs and 9 staff

Agents deployed

  • Sofia, recall agent

The problem

Hundreds of patients overdue for retainer checks. Post treatment maintenance quietly lapses until relapse calls and re treatment requests start arriving.

The deployment

Sofia runs a three channel campaign across SMS, email, and voice over 30 days, personalized to each patient’s case stage and last visit date.

What the pilot measures

The share of the overdue list that rebooks, tracked week by week from the first message.

Scenario 03 · General + pediatric

The verification bottleneck

General and pediatric

A bilingual practice with 5 operatories

Agents deployed

  • Zara, insurance verifier
  • Marcus, scheduling agent (bilingual)

The problem

Insurance verification eats hours every week across two staff members. Day of surprises drag down case acceptance. Coverage across two languages is inconsistent.

The deployment

Zara verifies eligibility against the practice management system before the day starts. Marcus handles bilingual scheduling and reminders in both languages.

What the pilot measures

Verification hours returned to the team and treatment plans presented without coverage surprises.

Scenario 04 · Endodontics

The referral blind spot

Endodontics

A specialty office with 2 specialists and 5 staff

Agents deployed

  • Marcus, scheduling agent
  • Jordan, review agent
  • Eleanor, reporting agent

The problem

Referral relationships with general dentists run on memory. Post procedure follow ups get missed. Specialist time disappears into scheduling conflicts.

The deployment

Eleanor builds a weekly report on which referring offices send cases that close. Jordan runs review and follow up sequences. Marcus schedules around specialist rules.

What the pilot measures

Referral conversion visibility, review velocity, and specialist hours protected.

Scenario 05 · Pediatric

The family communication gap

Pediatric

A practice with 8 operatories and 22 staff

Agents deployed

  • Marcus, scheduling agent
  • Sofia, recall agent
  • Diego, reactivation agent

The problem

Parent communication bottlenecks at check-in. Sibling recall is inconsistent. Families who prefer another language get thinner follow up than everyone else.

The deployment

Sofia and Diego deploy bilingual for recall and reactivation. Marcus runs school break campaign rules and custom sibling intake protocols.

What the pilot measures

Sibling intake rate, reactivation of lapsed families, and equal follow up in every language.

Scenario 06 · Multi location (general + ortho)

The six location patchwork

Multi location group

A group with 38 chairs and 110 staff

Agents deployed

  • Full swarm: Marcus, Sofia, Zara, Diego, Jordan, Eleanor

The problem

Every office runs its own recall, intake, and verification approach. The owner has no unified view and spends Mondays on six separate status calls.

The deployment

The full swarm deploys across all locations with location specific voice profiles. Eleanor compiles one unified executive report weekly.

What the pilot measures

Every location on one system, one weekly report, and owner hours back.

Be the first real name on this page.

We install free, agree on the success numbers up front, and publish only what actually happens. If the pilot hits the numbers, we talk about continuing. If it does not, you have lost nothing.

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