ZQ Zaid Qayyum
Case 08 Marketing & Booking2025Sample build Representative scenario: multi-location aesthetic clinic, US

GoHighLevel + Vapi.ai voice agent for a US med spa

Sample build: a booking and inbound-call automation system for a representative multi-location aesthetic clinic. GoHighLevel handles funnels, forms and SMS sequences; a Vapi.ai voice agent answers calls 24/7, qualifies leads against the clinic's services and books straight into the GHL calendar.

Scenario
Representative multi-location aesthetic clinic, US
Role
Automation Engineer
Year
2025
Hero stack
GoHighLevel · Vapi.ai

The scenario.

A multi-location clinic losing roughly a third of inbound calls outside business hours and during peak treatment slots when reception can't pick up. Online lead forms convert, but the SMS follow-up is manual; staff miss replies for hours, killing momentum on hot leads. Marketing spend is strong, but conversion leaks in the gap between "interested" and "booked".

How it's built.

  1. GHL front-of-funnelThe front-of-funnel in GoHighLevel: paid-traffic landing pages, a 3-question pre-qualification quiz (treatment area / budget / timeline), and a calendar-attached booking page tied to each location.
  2. GHL nurture pipelinesSMS and email automations wired into GHL pipelines so every inbound lead gets an instant reply, then a 4-touch nurture sequence over 7 days if they don't book.
  3. Vapi.ai voice agentA Vapi.ai voice agent trained on the clinic's services, pricing tiers, contraindications and calendar, so it can answer FAQs, qualify and book appointments end-to-end via voice.
  4. Vapi-GHL webhooksVapi connects to GHL via webhooks: any booking made by the voice agent creates a contact, applies tags, and drops into the same nurture pipeline as web leads.
  5. Reception overrideReception override: the agent escalates to a live receptionist during business hours if the caller asks for a human.

What makes it tick.

  • Voice agent handles inbound after-hours and during reception overflow: captures appointments that previously went to voicemail.
  • GHL pipeline visualizes lead source (web form, quiz, voice agent) so marketing can see which channels actually book.
  • Trigger logic ensures the same lead never gets duplicate SMS from web and voice agent paths.
  • Cancellation and reschedule flow handled in voice and SMS for low-friction adjustments.

What it's designed to change.

This pattern is designed to take after-hours bookings from zero to roughly a dozen per week by answering the calls that currently go to voicemail, and to lift total inbound conversion across the first 60 days. The intended second-order effect is lighter reception load, so front-desk time can move toward upsell conversations. These are design targets for the modeled scenario, not measured client results.

design target, roughly zero → a dozen after-hours bookings, weekly

Tools in the build.

  • GoHighLevel
  • Vapi.ai
  • Twilio (SMS)
  • Stripe (deposits)
  • GHL Calendars
  • Webhooks

Got a workflow bottleneck?

If this looks like the kind of system your business needs, the fastest way to start is a short discovery call.

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