One AI assistant. Four channels. Services, pricing, and booking.
A med spa needed customers to be able to ask what a treatment involves, ask what it costs, and then book it, without waiting on the front desk and without being pushed onto a channel they do not use. Super In Tech built a conversational AI text booking system that handles all three across SMS, Facebook, Instagram, and web chat.
The numbers speak for themselves.
The questions came before the booking, on four different channels.
Customers were already spread across SMS, Facebook, Instagram, and web chat. An answer that only existed on one channel missed most of the people asking.
Service and pricing questions come before anyone books. A booking link on its own does not answer them, and the gap between "what is this and what does it cost" and "book me in" is where enquiries quietly drop.
The same questions arrived over and over with the same answers, and each one took front-desk attention away from the customers who were physically in the building.
Treating four channels as four separate setups means four sets of rules to maintain and four places for the answer to drift out of sync.
One conversational AI covering the route from question to appointment.
Conversational AI Across Four Channels
Built one AI text assistant operating on SMS, Facebook, Instagram, and web chat, so customers get the same answer on whichever channel they already use rather than four setups drifting apart.
Service and Pricing Conversations
The assistant explains what the treatments are and what they cost, handling the questions that come before a booking decision instead of leaving them for a callback.
Text Booking Journey
The conversation carries through into appointment booking, so a customer moves from asking about a service to holding a slot inside the same thread.
Built on GoHighLevel
Implemented on GoHighLevel so enquiries land in the CRM as contacts and the booking journey stays connected to the rest of the spa's marketing and follow-up.
Common questions.
Yes. We build the assistant once and connect it to each channel, so the service answers, the pricing answers, and the booking rules stay identical everywhere. That is the main reason to do it as one system rather than four separate chatbots.
It supports the booking journey rather than just capturing a name. The conversation moves from the service and pricing questions into scheduling, with the calendar and booking rules configured behind it.
The pattern suits any appointment-led business where customers ask what a service is and what it costs before they book. Each implementation gets scoped around its own services, booking rules, and existing tools, so the build is specific even though the shape is the same.
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