The recall list nobody has time to work
Hygiene visits keep the schedule full, yet lapsed patients sit on a list while the front office handles whoever is in the chair or on the phone. Reactivation happens in bursts, if at all.
We build the recall, insurance and inquiry workflows around your front office and your clinical team, and keep the dentist's judgment where it belongs.
AI helps dental practices with bounded administrative work: insurance verification before the visit, new-patient inquiry handling, recall and reactivation messages, and plain-language follow-up on treatment plans a dentist has approved. Imaging support and orthodontic remote monitoring are emerging and assist the clinician. Treatment planning stays with the dentist, and gains depend on your recall data, systems and team habits.
Hygiene visits keep the schedule full, yet lapsed patients sit on a list while the front office handles whoever is in the chair or on the phone. Reactivation happens in bursts, if at all.
A patient leaves with a plan, a quote and an insurance estimate, then hears nothing. Follow-up depends on which treatment coordinator remembers, and the financing conversation is rarely recorded.
Eligibility, frequency limits and remaining benefits are verified by phone or portal before each visit, often the afternoon before. Mistakes surface later as rejected claims and awkward calls to patients.
Web forms, ad clicks and after-hours calls wait until someone is free. A new-patient inquiry left for a day can book elsewhere.
Aligner and brace patients need regular check-ins over many months, and each missed adjustment slows treatment. Practices need to see who is drifting without more visits to the office.
Established means widely deployed and well documented. Emerging means real deployments exist but results vary with your data and workflow. Early means pilots or research, not a safe default.
In an ADA survey, 13.6% of responding dentists used AI for insurance verification, a bounded task with a clear right answer. The system checks eligibility and drafts a benefit summary for tomorrow's schedule, and the insurance coordinator handles exceptions and gives patients estimates, not promises.
Chat or text replies a web or ad inquiry within minutes, offers two appointment times and passes insurance questions and anxious patients to the front office. This is bounded routing with AI agents, not clinical advice.
AI can rank lapsed patients by last hygiene visit, outstanding treatment and insurance renewal, and draft messages in your voice. Rules and consent decide who is contacted. Dental-specific evidence on results is thin, so we measure on your own list.
Of dentists surveyed, 13.2% used AI to explain findings. We draft plain-language summaries and follow-up messages from the plan the dentist has approved, and the treatment coordinator sends or edits them.
The ADA survey found 22.8% of responding dentists used AI for imaging and diagnostics. Each tool is cleared, if at all, for a specific intended use, so we check the actual device before anything reaches a patient conversation. The dentist makes the diagnosis.
An FDA-listed tool analyzes patient smartphone images to help professionals follow aligner or brace progress. Its authorized purpose is assistance, not stand-alone diagnosis or treatment decisions, so the orthodontist reviews flagged cases and decides who comes in.
Diagnoses, plans treatment and reads imaging. Signs off every patient-facing explanation of findings before it is sent.
Has the cost and financing conversation and decides when a follow-up should be a phone call instead of a message.
Owns recall rules, quiet hours and who is never texted, and keeps the escalation queue from piling up. Role-based AI training gives the front office the habits to check what the system drafts.
Resolves benefit exceptions, verifies unusual plans and owns what patients are told about their portion.
Signs off vendors, business associate agreements, consent wording and any use of patient images.
Baseline overdue recalls, reactivated patients and hygiene chair fill, then report weekly against that starting point.
Track plans presented, accepted and booked, and the time to first follow-up, by treatment coordinator.
Measure eligibility problems found before the visit and first-pass claim acceptance for eligibility-related rejections.
Track lead response time, after-hours inquiries captured and inquiries that become booked new-patient exams.
Much of a practice's next revenue is already in the building: lapsed patients, unscheduled treatment and inquiries waiting for a reply. We connect AI to that through revenue operations, so recall, plan follow-up and lead response become measured workflows with named owners.
General information for planning, not legal advice. Statuses and dates are as published at the time of writing.
Count overdue recalls and accepted-but-unscheduled treatment, set consent rules, then run a supervised reactivation and follow-up campaign in one office.
Add insurance verification with an exceptions list, so the coordinator reviews problems instead of checking every patient.
Add inquiry handling with a clear handoff, then compare lead response time and inquiry-to-exam rate against the baseline. For DSOs, agree shared rules before copying anything to other offices.
Use is real but uneven. An ADA survey reflecting mid-2026 found 43.3% of responding dentists used AI for at least one practice task, led by imaging and diagnostics. That is a dentist survey, not a DSO adoption rate.
No, and dentists mostly agree. Fewer than 5% of surveyed dentists used AI for treatment recommendations and 82.6% did not plan to. The dentist diagnoses and plans, and AI helps explain and follow up afterward.
Separate operational reminders from marketing. In the US, automated marketing texts generally need prior express written consent, and in the UK PECR needs consent unless a soft opt-in applies. Keep opt-out simple, record consent, and check with qualified counsel before building a reactivation campaign from treatment data.
Ask which device, for which intended use. Clearance is specific to a function, and a platform is rarely cleared as a whole. We review the labeling before a tool touches your workflow.
Remote monitoring from patient photos is the clearest example, alongside scheduling and treatment-journey messages. The tool helps the orthodontist see progress between visits, and the orthodontist decides whether anyone needs to come in.
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