Preboot for clinics
An AI that books at 11 PM having read the patient's history. Journeys that defend the schedule — no-shows, recalls, backfills. And Loop behind them, watching the numbers most clinics never see and arriving with decisions, not dashboards. Approval-gated, reversible, on the record.
Sound familiar?
A quarter of my appointments just don't show.
Published research puts the global average clinic no-show rate at 23% — roughly one appointment in four. Every one is a room, a doctor, and an hour you already paid for.
Patient chats live on my staff's personal phones.
When someone resigns, the conversations resign with them.
I run the clinic on numbers I can't see.
Revenue per room per hour. Cost per booked visit. Rebook rate per staffer. Most clinics have never seen these numbers once.
Your staff isn't failing. They're carrying work an AI employee should be doing.
The schedule
Three journeys that defend the calendar — the asset every clinic lives on.
Confirm-or-rebook reminders run 24/7, designed to cut no-shows 30–45% — and every freed slot returns to the book.
Describe your reminder policy in a sentence; Loop builds the journey and re-tunes it when confirmations dip.
New timing previews before going live and rolls back in one click — test on Tuesdays without fear.
Recall journeys fire on each patient's own treatment cycle. Coverage goes from whoever-remembers to everyone, on schedule.
'Recall derma patients six weeks after their last session' — said once, running for good.
A monthly lapse sweep that never gets skipped — the revenue leak most clinics find a year late.
Loop watches the booking calendar and offers freed slots to the waitlist — designed to win back 5–12 points of utilization.
Approve the backfill policy once; every fill is logged and reversible.
A daily gap sweep before opening: tomorrow's holes found tonight.
Loop, watching
Loop monitors everything and arrives with the call already made — reasoning, expected outcome, and risk attached.
Slipping replies, lapsing recalls, a quiet referrer — raised unprompted, even after weeks of being ignored.
Every alert lands with a drafted fix and expected outcome — you approve; you don't investigate.
Cause separated from coincidence — no more chasing noise on a Sunday night.
Loop arrives with the call already made: recommendation, expected utilization gain, risk. A decision, not a dashboard.
Knows whether Tuesday's empty rooms are seasonal, price, or one doctor's schedule — before prices move.
Revenue per room per hour, by service — a number most clinics have never once seen.
Causal analysis over visits and conversations names the real churn driver — wait time, price, or one doctor.
Objections mined from every patient conversation, not a front-desk hunch.
The full patient story — visits, messages, campaigns — is what makes the why answerable at all.
The front desk
The AI absorbs the routine so your people keep the humans in front of them.
The AI books, reschedules, and answers preparation questions at 11 PM — having read the patient's whole history.
Booked into your real calendar, not a message queue — the slot is taken before your desk opens.
The 2 AM DM lands in one inbox with an owner — never lost on a staff phone.
Price, preparation, and directions answered by the bot, so your staff stays with the patient in front of them.
Assignments and ownership across six channels — nothing missed, nothing answered twice.
First reply: hold music → seconds, with the patient's history already read.
Run the clinic on facts
The part no chatbot ever touched: staffing, accountability, and an operating cadence that never lapses.
Reply times, rebook outcomes, and handling quality per staffer — from real conversations, not annual reviews.
Targets and incentives designed from actual behavior and roles — accepted because they're evidently fair.
Who handled what is on the record — accountability that survives 'that wasn't me'.
Missing price? Unclear policy? Loop messages the exact staffer who owns it — the gap closes once, for good.
Repeated 'I don't know' moments in patient chats get spotted before patients stop asking.
No-shows, recalls, utilization, and reply times reviewed every Monday — whether anyone remembers or not.
Each review ends in ranked decisions with expected impact — 15 minutes to act, not a day to analyze.
Week-over-week charts saved to dashboards, no report builder.
Before & after
The remaining six moments from our clinic map — run by hand, and run on Preboot.
Post-visit follow-up
The patient calls you, if it hurts
Day-after check-ins per procedure — designed to lift first-to-second-visit conversion 15–30%
The treatments patients ask for that you don't offer
Refused weekly, forgotten monthly
Every 'do you do X?' counted and themed across the whole inbox — missed demand, quantified
Win-backs
A blast to the whole list, risking the number
Living segments pick the right 200 patients — designed to bring back 10–20% of the quiet book
What your ads actually book
Likes, reach, and a feeling
The ad→DM→booking chain captured natively — cost per booked visit, per ad
Any clinic number
Days of asking around
Asked in plain language, charted in seconds, saved to your dashboards
Patient conversations
Scattered across staff phones
One governed inbox — roles, permissions, and a full audit trail
"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
Patient conversations, in one place.
Not scattered across staff phones. One inbox with roles and permissions, so the right people see the right conversations — and the record survives staff changes.
No medical advice. By design.
The AI books, informs, and reminds. Anything clinical routes to your team with a summary — a hard rule, not a setting.
Every AI conversation, auditable.
Session summaries, handoff reasons, and reasoning traces. You can read exactly what the AI told any patient, and why.
Nothing changes without you.
Reminder timing, journeys, the bot itself — every change is previewed, approved by you, and reversible in one click.
Only the people you allow. Conversations live in one system with roles and permissions instead of on personal phones, and your data is never sold or used for anyone else.
No — by design. It books, informs about services and preparation, and reminds. Anything clinical is handed to your staff with the conversation summarized.
Booking works in chat from day one. Clinic management systems connect through custom integrations, so appointments land where your team already works.
It measures what's already on the record: reply times, rebooking outcomes, 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.
It finds the gap and messages the staffer who owns that scope — the price list, the policy — then folds the validated answer into the knowledge base, so the gap closes once, for good.
Any time. The AI hands off with the reason and a summary, so your staff never starts a conversation cold — and patients never repeat themselves.
Message us on WhatsApp and watch the experience your patients would get — our own number runs on Preboot.