KAIVIX

AI Revenue Systems for healthcare

Stop losing high-value patients between the calls.

Your clinic already pays for demand — marketing, reputation, doctors, location. We build the AI layer that answers, books, reminds, and reactivates, so that demand turns into booked revenue. Booking, not diagnosis.

Get a free teardown Calculate what you're losing
<5 sec
reply to a patient
EN · RU · AR
24/7, in their language
fewer
no-shows, full schedule

Your sub-niche, your system

Each practice has a different leak. We go specific.

Generic AI chat misses the nuance. Below is what we actually build for each niche — exact pains, real workflows, and where humans stay in control.

Aesthetic & Medspa

Staff misses 30–45% of consultation calls during procedures

Exact pain

Staff misses 30–45% of consultation calls during procedures — especially 11am–2pm and after 6pm, precisely when patient intent is highest.

Revenue mechanism

35 missed calls/mo × 40% book rate × $900 consult × 70% close = $8,820/month before anyone notices

AI workflow

  1. 01Call is missed or WhatsApp arrives after hours
  2. 02AI responds in <5 sec — identifies treatment interest (Botox, filler, thread lift, laser)
  3. 033 qualifying questions: goal, budget range, previous treatment in this area
  4. 04Treatment-ready: books free consultation directly in the calendar
  5. 05Sends pre-consult prep (restrictions, what to bring, parking instructions)
  6. 0624h and 2h reminders with confirmation
  7. 07Post-visit: personalized Google/Treatwell review ask + 90-day re-engagement

Human handoff

Clinical assessment, injection dosage, contraindications, adverse event handling → certified practitioner only. AI never discusses specific units, drug brand names, or patient medical history.

Data we need

  • ·Inbound call log (3 months)
  • ·WhatsApp / Instagram DM volume
  • ·Consultation calendar
  • ·Treatment menu with prices
  • ·Avg follow-up package value

KPI

Consultation booking rate from inbound (+25 pp vs baseline), no-show rate (−40%), 90-day repeat-visit rate

Use cases

  • →Night WhatsApp 'Can I get lip fillers tomorrow?' — AI qualifies, shows open slots, books.
  • →Missed-call recovery: patient called during a procedure, receives callback offer within 2 min; 68% reply rate.
  • →90-day reactivation: 'Your last treatment was in March — time for a refresh?' pulls past patients back.
  • →Post-treatment review capture after a happy-path visit triggers a personalized ask.
Longevity & Preventive

Premium protocol inquiries

Exact pain

Premium protocol inquiries — IV therapy, biological age testing, comprehensive bloodwork packages — need 3–7 touchpoints. If reply #2 delays more than 24h, 60% of high-ticket leads disengage without explanation.

Revenue mechanism

15 qualified leads/mo × 60% disengagement at delay × $9,000 avg program = $81,000/month in pipeline slippage

AI workflow

  1. 01Lead submits inquiry via form, WhatsApp, or Instagram DM
  2. 02AI responds in <90 sec with structured protocol overview — not medical advice, 'here is what the program covers'
  3. 03Sends pre-consult questionnaire: age, health goals, current labs if available, travel dates
  4. 0424h follow-up if questionnaire is not completed (2 automated touches)
  5. 05On return: routes to senior coordinator with a fully pre-filled lead profile
  6. 06AI schedules the consult, sends Zoom link or clinic address + transport guide
  7. 073-step educational nurture sequence while patient is in pipeline
  8. 08Post-program: recovery check-in at D+7, re-engagement at D+90

Human handoff

Protocol design, biomarker interpretation, supplement prescription, IV compound selection → medical director or functional medicine physician. AI never makes health claims.

Data we need

  • ·Lead source data
  • ·Questionnaire structure
  • ·Program catalog with pricing
  • ·Coordinator calendar
  • ·Past-patient LTV data

KPI

Questionnaire completion rate (>70%), lead-to-consult conversion (+30%), avg days to conversion (<7 from first inquiry)

Use cases

  • →Instagram reel → DM inquiry at 2am — AI qualifies, sends program overview and questionnaire link.
  • →Stale lead from 6 months ago: 'New longevity protocol added — still interested?' → 15% re-engagement.
  • →Post-program upsell: D+90 nudge with seasonal protocol → 22% renewal rate.
  • →Coordinator receives pre-filled CRM profile — skips discovery call, goes straight to clinical review.
Recovery (Post-Procedure)

Post-op patients receive no systematic follow-up after discharge. Recovery checkpoint attendance collapses, leaving 40% of program revenue on the table

Exact pain

Post-op patients receive no systematic follow-up after discharge. Recovery checkpoint attendance collapses, leaving 40% of program revenue on the table — and generating avoidable negative reviews.

Revenue mechanism

20 post-procedure patients/mo × 8 avg sessions skipped × $220/session = $35,200/month in uncaptured program revenue

AI workflow

  1. 01Patient discharged → AI sends 4-hour wellbeing check-in ('How are you feeling? Any concerns?')
  2. 02D+1 morning: recovery protocol link + what to expect today
  3. 03D+2: reminder to book next physio/drainage session with direct calendar link
  4. 04D+7: recovery milestone message + next appointment suggestion pre-filled
  5. 05Any pain or concern reported → instant flag to coordinator + routing to on-call clinician
  6. 06Review capture at session milestones (D+14, D+30) after positive sentiment
  7. 07Medical-tourism patients: all messages multilingual (EN/RU/AR), hotel transport reminders, next checkpoint pre-booked

Human handoff

Symptom reports, pain flags, wound or healing concerns → clinical team, 24/7 escalation path. AI never assesses symptoms or provides clinical reassurance.

Data we need

  • ·Procedure / discharge log
  • ·Recovery protocol per procedure type
  • ·Coordinator calendar
  • ·Patient preferred language
  • ·Accommodation details (medical tourism)

KPI

Session completion rate (>80%), recovery check-in response rate (>75%), 30-day re-engagement rate, reviews generated per discharged patient

Use cases

  • →Post-liposuction: AI sends D+1 through D+30 recovery sequence, auto-books 6 drainage sessions in one confirmation.
  • →Medical-tourism patient from Russia receives all messages in Russian — hotel van schedule reminder, next checkpoint pre-booked.
  • →Missed checkpoint: AI sends 2 gentle follow-ups, flags to coordinator if no response in 48h.
  • →Happy-path completion: after full recovery program, AI offers a maintenance body contouring package.
Dental

Recall system is manual and sporadic

Exact pain

Recall system is manual and sporadic — overdue hygiene patients are contacted by whoever has a spare moment, meaning 25–40% are never reached until they arrive with a problem.

Revenue mechanism

400 active patients × 25% overdue × 30% contact-to-book × $180 hygiene = $5,400 recoverable recall + 30 no-shows/mo × $130 = $3,900 no-show loss

AI workflow

  1. 01Daily scan flags patients overdue for hygiene / recall based on last-visit date and appointment interval
  2. 02Sends personalized recall message via preferred channel (SMS, WhatsApp, email)
  3. 03Patient replies yes → AI books slot directly in the practice management system
  4. 0448h and 2h reminders with pre-appointment instructions (no eating 2h before whitening, etc.)
  5. 05No-show? Within 10 min: 'We missed you — want to reschedule?' with 3 open slots
  6. 06Multi-phase treatment follow-up: Invisalign tray changes, crown prep sequences tracked and messaged
  7. 07Review capture after positive hygiene visits → Google or Doctify ask

Human handoff

Treatment recommendations, emergency complaints, radiograph interpretation → dentist only. AI never advises on clinical findings, urgency, or medication.

Data we need

  • ·Patient database with last-visit and due-date fields
  • ·Appointment type templates
  • ·PMS integration (Dentrix, Exact, R4) or CSV export
  • ·Preferred contact channel per patient

KPI

Recall activation rate (>35% of overdue patients booked), no-show rate (−30%), hygiene chair utilization (>85%), monthly recall revenue recovered

Use cases

  • →180 overdue hygiene patients → WhatsApp recall campaign → 38% book within 5 days.
  • →Invisalign patient on month 4 of 8: AI sends progress-check reminder and books tray change automatically.
  • →No-show Monday 10am: AI fills the slot within 20 min from a waitlist of interested patients.
  • →Post-extraction D+1 and D+3 follow-up: 'How is the healing going?' — dry socket symptoms route instantly to dentist on-call.

Every enquiry gets an answer

From first message to repeat visit — one connected flow.

Enquiry
Instant answer
Qualify
Book
Remind
Review
Reactivate

The Revenue Capture System

AI Front Desk

Answers and qualifies every patient in seconds, in their language, 24/7.

Missed-call recovery

Every unanswered call gets an instant follow-up before the patient moves on.

WhatsApp & web booking

From first message to confirmed slot — connected to your calendar.

No-show prevention

Confirmations and reminders that keep the schedule full.

Database reactivation

Brings dormant patients back to booked visits — with consent.

Review capture

Turns happy visits into reviews that feed reputation and search.

Owner dashboard

Enquiries, response speed, bookings, no-shows, reactivation revenue — in one view.

Human handoff

Anything clinical or sensitive routes straight to your coordinator or doctor.

Boundary and privacy

The AI works front-office only: information, navigation, prices, booking, reminders, reactivation. It does not diagnose, give medical advice, or interpret conditions — that is always the doctor or coordinator. Patient data stays in your systems, with PHI minimisation, consent-aware workflows, and compliance with messenger rules and local data law.

Calculate your leak by type

Four niche-specific formulas — pick the one that hurts most.

Revenue lost when incoming calls go unanswered — before the patient calls the next clinic.

$11,340

monthly revenue leaking from unanswered calls

18 missed bookings × $900 × 70% close = $11,340

Estimates only. Based on industry averages — your actual numbers may vary.

How we work

  1. 01

    Diagnose

    Free teardown: we map where patient demand leaks across calls, chat, and front desk.

  2. 02

    Design

    Patient journey, leak map, ROI estimate, and compliance boundaries.

  3. 03

    Build

    Intake, reminders, and reactivation deployed around your channels and CRM.

  4. 04

    Operate

    Monthly: optimisation, reactivation, reporting. Revenue on the dashboard.

Questions

Will the AI overstep with a patient?
No. It works front-office only — info, navigation, prices, booking, reminders. Anything clinical goes to the doctor or coordinator.
What about patient data?
It stays in your systems. Communication follows messenger rules and local data law, with PHI minimisation and consent-aware flows.
We already have receptionists.
The AI takes the routine, nights, and weekends off them. Your people handle what genuinely needs a human.
Which languages?
EN, RU, AR out of the box — it switches based on how the patient writes. Others on request.
Is this only for big chains?
No. It's built for the clinic owner who counts the patients they miss — single location or network.

We'll show you where your patients are lost. For free.

30-minute teardown — we map the leaks across calls, chat, and front desk.

What are you looking for?