GoHighLevel SMS Concierge
Inbound SMS to any GoHighLevel (GHL) number gets handled by an AI agent that books appointments, reschedules, answers FAQs, and writes the full thread back as a GHL contact note — escalating to a human only on edge cases.
How it works
1. Inbound SMS lands
An incoming SMS to your GHL number triggers the agent. The contact is looked up (or created) and an opportunity is opened in your inbound pipeline.
2. Intent + reply
Claude classifies the intent (book / reschedule / FAQ / escalate), pulls live calendar slots from the GHL Calendar API, and drafts a reply that matches the contact’s tone.
3. Book + audit trail
On confirmation the appointment is booked, a confirmation SMS fires, and the full conversation thread plus appointment metadata is written back as a GHL contact note.
60-second Loom
60-second flow: inbound SMS lands → intent classified → contact + opportunity created → AI offers 3 calendar slots → user picks one → appointment booked → conversation thread written back as a GHL contact note. Switch to FAQ scenario to show no-booking flow.
Loom embed coming soon — until then, click through to the live demo.
Get the full build spec PDF
One-page PDF with the architecture, the tech stack, the timeline (2–3 weeks), and the investment range ($9,990 – $25,000). Sent to your inbox in under a minute.
Who it’s for
GHL agencies and service businesses (dental, HVAC, med-spa, coaching) drowning in inbound texts who want 24/7 capture without hiring a human SMS desk.
Tech under the hood
Frequently asked questions
How does the AI know when to escalate to a human?
Confidence threshold + sensitive intents (refund, complaint) auto-route to a human queue with full context. Defaults are conservative and tuneable per sub-account.
Does this work with multi-tenant agency setups in GHL?
Yes — per-sub-account number routing and per-sub-account brand voice. The agent reads each sub-account’s KB and tone samples on first use.
What languages are supported?
English out-of-the-box; Spanish + French add ~1 day each via prompt + intent translation layer.
Can the AI handle complex booking constraints (insurance, provider preference)?
Yes — a configurable booking rules layer evaluates each candidate slot before offering.
Want one of these in your business?
We’ll scope, build, and hand off a production-ready system in 3–4 weeks.