Preboot for dental clinics
Your before-and-afters pull comments all day. The AI answers every one in the DMs and books the consultation. Journeys defend the book behind it — no-shows, recalls, quoted plans. And Loop watches the whole clinic, arriving with decisions, not dashboards. Approval-gated, reversible, on the record.
Sound familiar?
My Reels pull hundreds of comments. My clinic gets a handful.
The rest got answered a day late — by then they were in somebody else's chair.
A quarter of my consultations just don't show.
Published averages put consultation no-shows around 1 in 4. Every one is a chair, a doctor, and an hour you already paid for.
I couldn't tell you which ad actually fills chairs.
Cost per booked consult. Chair utilization on a Tuesday afternoon. The value of quoted-but-unbooked plans. Most clinics have never seen these numbers once.
The clinic that answers first wins the patient. Preboot makes that every reply — and runs the rest of the clinic behind it.
The front line
Your Reels already pull the audience. Two moves turn it into consultations — in seconds, at any hour.
Every comment answered in the DMs by an AI that has read the whole history — replies in seconds, designed to take comment-to-consult 2–3x.
Comments, DMs, story and ad replies land in one inbox — zero leads lost between platforms or shifts.
Booked consults per Reel and per ad is a fact, not a guess — the comment-to-chair chain is captured natively.
The AI quotes your plans and Tabby/Tamara terms with the patient's full history in hand — designed to convert 25–50% more of the price stalls.
Your own configured prices and plans, validated before publish — no invented quotes, ever.
The exact objection wording that kills conversations, mined from every DM — not a sample.
The patient rail
Three journeys that defend the book — show-ups, recalls, and the quoted plans that would otherwise go quiet.
Confirm-or-rebook reminders run around the clock, designed to cut no-shows 30–45% — and every freed slot goes back on sale.
Describe your reminder logic in a sentence — Loop builds it, explains any branch, and retunes it when it slips.
Which weekday, doctor, and lead time actually drive no-shows — causes, not coincidence.
Recall coverage goes from a forgotten spreadsheet to everyone, on schedule — repeat revenue on rails.
A monthly overdue-recall sweep that never lapses — even when the person who ran it quits.
The overdue list is a living segment, recomputed continuously — never a stale export.
Every quoted plan gets a timed follow-up rail with installment options — designed to lift quoted-plan bookings 20–40% within 30 days.
Quoted-but-unbooked is a living segment with value attached — your highest-intent list, always current.
When the patient replies at 11 PM, the AI knows their exact plan and quote — and books them.
Loop, deciding
Loop watches the whole clinic and arrives with decisions, not dashboards — recommendation, expected outcome, risk.
Loop watches everything and names what you've been ignoring — the lapsed recall list, the 9 PM DMs dying unanswered.
Each alert lands with the fix attached — recommendation, expected outcome, risk — ready to approve.
WHY consults don't convert — price, doctor, follow-up lag — causally separated before you discount anything.
The fix arrives as a brief: recommendation, expected lift, risk — a decision, not a dashboard.
Objections mined from every consult chat, not the ones staff remember — the real reasons plans stall.
Loop reads your booking calendar and proposes slot moves and off-peak offers — designed to lift utilization 10–20 points.
Utilization by chair, doctor, and hour in one question — the number most clinics have never once seen.
A rebalancing brief, not a heatmap: what to move, expected lift, risk — approve and it happens.
Run the clinic on facts
The part no chatbot ever touched: staffing, knowledge, and an operating cadence that cannot lapse.
Reply speed, bookings, and handling quality per staff member — read from real conversations, not impressions.
Targets and bonuses designed from how your desk actually works — grounded in behavior, not gut feel.
Loop finds what it can't answer and asks the exact person who owns it — the doctor, the desk, or you.
The questions going unanswered across the whole inbox, surfaced with counts — not anecdotes.
No-shows, recalls, utilization, and response times reviewed every Monday — a cadence that cannot lapse.
Loop reconciles the booking calendar with conversations — double-booked and orphaned slots caught weekly.
Anything drifting from baseline gets named in the review — before it becomes a bad month.
Before & after
The remaining six moments from our dental map — run by hand, and run on Preboot.
Post-op check-ins
The patient calls you, if it hurts
Say 'check on every extraction at day 1, 3, 7' — the journey exists, previewed, and improves itself
What your ads actually book
Likes, reach, and a feeling
The ad→DM→consult chain captured natively — cost per booked consult is a fact, designed to fall 20–40%
Slow weeks
Noticed on Monday, discounted in a panic
Loop drafts, targets, launches, and kills losers — one approval, designed to cut next week's empty slots 20–40%
Patients who quietly drifted
Reactivated: near zero
Spotted while still winnable, by a segment no spreadsheet can keep — near zero → a steady monthly flow
Which treatments to promote
Hunches, and last year's offers
Offers aligned with what patients are actually asking for — demand read from the market, designed to lift promoted-treatment consults 20–40%
Which treatments build lifelong patients
Seen: never, not once
Ask 'LTV by first treatment and ad source' in plain words — charted in chat, saved to a dashboard
"Published averages" are industry benchmarks from public studies, not Preboot results. Your own numbers will live on your dashboard — that's rather the point.
Done right by default
No diagnosis. Ever.
Photos and symptom questions route to the doctor with the thread summarized. The AI books, informs, and reminds — a hard rule, not a setting.
Patient conversations, in one place.
Instagram and WhatsApp land in one inbox with roles and permissions — not on whichever phone answered first — and the record survives staff turnover.
Every AI conversation, auditable.
Session summaries, handoff reasons, reasoning traces. You can read exactly what any patient was told, and why.
Your accounts, kept safe.
Policy-compliant messaging and segment-first sending protect the WhatsApp number and Instagram account your marketing runs on.
Yes — comment patterns, story replies, and ad replies each get their own flow, and the conversation continues in the DMs until the consultation is booked.
The AI never diagnoses. It acknowledges, summarizes the conversation, and routes it to the doctor — the patient gets a professional answer without repeating themselves.
From you. Your payment plans and prices are part of the bot's knowledge, changes are validated before publish, and anything unusual hands off to staff.
A journey watches each patient's treatment dates. When a cycle lapses, the patient gets a recall message and your team sees who is overdue — Loop keeps the list current.
It measures what's already on the record: reply speed, bookings, and handling quality from real conversations. Managers see it under roles and permissions, and targets built from it tend to be accepted precisely because they're factual — no arguments about whose lead it was.
Loop finds the gap and asks the exact person who owns it — the doctor, the desk, you. The validated answer lands in the bot's knowledge, previewed before publish and reversible in one click, so the question is asked once and answered forever.
Message us on WhatsApp and we'll show you the comment-to-consultation flow live — our own number runs on Preboot.