Laura displays contextual screens inside her platform, adapts what she shows as the patient speaks, documents intake + scheduling preferences live, confirms via WhatsApp, and guides patients from first question to booking.
Clinics don’t lose patients because they didn’t "answer." They lose bookings because the conversation wasn’t guided into a structured next step.
Visual-first = trust. Structure = conversion.
Industry Leakage in Unstructured Chat
Laura is a reception orchestration layer — designed to capture context, document preferences, confirm handoff, and move the patient forward.
Displays contextual screens (cards, panels, flows) inside Laura (not website browsing)
Changes what she displays based on the conversation
Documents everything live (intake + scheduling preferences)
Uses WhatsApp as the confirmation / handoff layer
Guides the full journey: inquiry → education → pricing (opt-in) → booking
intent + contact, cleanly documented
guidance without friction, human-feel clarity
contextual panels that move decisions forward
Visual-first builds trust. Structure closes the loop.
See how Laura’s screens change as the patient speaks — and how intake + scheduling are documented before confirmation.


You’ll see Laura’s screens change inside her platform as you interact.
Live test environment — avoid entering real patient data.
A question starts it (service inquiry)
Contact captured (name + phone)
Treatment intent documented
Best callback date saved
Best callback time saved
Preferred visit date saved
Review summary shown → WhatsApp confirmation
Education screen (only if the patient wants)
Pricing + booking flow (visit type → calendar → time slot → confirm → WhatsApp)
Laura doesn’t rush decisions. She sequences them.

Laura is designed to be credible, defensible, and configurable — not a risky "generic bot."
Claims-safe communication (no guaranteed outcomes)
Data minimization for testing (avoid patient PII)
Clear escalation rules to your team when needed
Human review + controlled configuration before launch
Audit trail of captured intake + preferences
Laura is deployed in a real-world dental reference flow (Helio Dental Clinic) to prove the mechanism: guided intake → confirmation → booking.
Request the full reference walkthroughA forwardable deck for clinic owners and operators: the response gap, the mechanism, the rollout path, and customization.
How modern clinics connect Ads → AI Reception → Follow-up → Booked Patients (systems-first, claims-safe)
We’ll send the file and a short follow-up. No spam.
This guided setup configures Laura's services, booking rules, tone, and patient journey for your clinic.
You'll receive a scoped timeline and investment estimate within 48 hours after confirmation.
Sara guides you through customization using chat or voice — collects the same inputs, requests uploads, saves progress, then generates a clean scope summary for approval.
Sara: "Tell me your clinic name and country — then we’ll customize Laura step by step."
No patient data required. Claims-safe language. Human review before launch.
Try Laura live, then customize your AI reception layer — reduce front-desk load, protect ad ROI, and increase bookings by closing the response gap.
Prefer WhatsApp? Send "LAURA"EU/US teams can use Email confirmation instead of WhatsApp.