AI Receptionist for Modern MedSpas
Capture leads, answer questions, qualify inquiries, and keep booking conversations moving across WhatsApp, web, and Allura.
WhatsApp AI • Web dashboard • Allura for iPhone, iPad, and Mac
Treatment inquiry
Pricing • availability • booking
AI Receptionist
Responds with clinic context
01
Qualified
02
Booking intent
03
Staff review
Instant lead response
Booking intent
Staff handoff
MedSpa AI System
Built for the moments where MedSpas lose revenue.
The system is designed for real patient conversations: pricing questions, treatment interest, booking intent, after-hours messages, and the staff handoff that follows.
Instead of treating automation as a novelty, the receptionist acts like an operations layer: it captures demand, answers common questions, identifies intent, and prepares cleaner context for the team.
Lead capture
Responds quickly when a patient asks about treatments, pricing, availability, or next steps.
Qualified conversations
Identifies intent, keeps the exchange moving, and gathers the context staff need before follow-up.
Booking support
Guides high-intent inquiries toward consultation or appointment paths without forcing a cold form.
Human handoff
Keeps the AI-assisted layer practical, with staff review and control where judgment matters.
Proof Flow
A receptionist conversation, translated into operational signal.
The value is not just the reply. It is the structured context that appears behind the conversation.
Patient
How much is lip filler?
AI Receptionist
Lip filler starts at $99. Would you like help booking a consultation?
System result
Staff can step in with the treatment interest, price question, and booking signal already visible.
Allura
The native app interface for the receptionist system.
Allura gives the team a polished native surface for reviewing leads and staying close to AI-assisted workflows on iPhone, iPad, and Mac.
iPhone • iPad • Mac
A concise control layer for conversations, leads, and review.
The detailed product story lives on the Allura page. The homepage stays focused on the MedSpa AI receptionist system.
Platform Architecture
Built for real operations from the first conversation.
The product combines messaging, workflow automation, dashboards, native app control, and human handoff into one practical operating system for MedSpa lead flow.
WhatsApp messaging layer
A conversational front door for patient questions, lead intake, and follow-up prompts.
Workflow automation
Structured steps for qualification, routing, service guidance, and staff handoff.
Web dashboard
A clear workspace for reviewing conversations, lead state, and system activity.
Allura app
The native control interface for monitoring leads and keeping the team close to the workflow.
Staff control
Human review stays built into the system instead of hidden behind automation.
Operational scaling
Designed to support repeatable clinic workflows without rebuilding the system each time.
Operational Reliability
Designed around real clinic workflows and human oversight.
The platform keeps AI assistance practical: fast patient replies, clear lead context, staff visibility, and handoff control.
A receptionist system should make the clinic faster without making the experience colder. Every workflow is shaped around visibility, control, and practical follow-up.
Native control surfaces
Calm app experiences for reviewing conversations, leads, and staff decisions.
Reliable handoff logic
Structured context that helps teams understand what happened before they step in.
Practical AI oversight
Fast responses for patients, with human visibility built into the workflow.
Contact
Build a receptionist system around your clinic workflow.
For MedSpa AI reception, WhatsApp lead handling, Allura review flows, and operational handoff.
Share the lead flow, booking process, and handoff gaps you want the system to solve.