Been building a full AI workforce system on Retell + n8n + GHL for home service clients. Got multiple agencies asking about white-labeling it, so putting this out there formally. What the system does: • AI Voice Rep: Retell agent handles inbound calls 24/7, qualifies leads, books appointments directly into GHL calendar • AI Text Rep: n8n orchestrates all SMS/WhatsApp/Chat/Facebook/Instagram DM conversations using OpenAI • Outbound campaigns: AI calls cold lead lists, n8n triggers Retell, outcomes logged back to GHL • Review requests, reactivation sequences, pipeline updates — all automated inside GHL The tech stack: → Retell AI (voice agent, inbound + outbound) → n8n (orchestration, webhook triggers, conversation routing) → Supabase (conversation memory, contact state tracking) → OpenAI / OpenRouter (conversation AI, prompting layers) → GHL (CRM, pipeline, calendar, workflows, tags) → Twilio (A2P SMS, voice fallback) Deployment channels: SMS, WhatsApp, Live Chat, Facebook Messenger, Instagram DMs, Inbound Voice, Outbound Voice. For agencies interested in white-labeling: Model options: 1. Setup fee ($1,497) + you manage clients, you keep the MRR 2. Revenue share — I handle setup + maintenance, we split the monthly retainer 60/40 Clients are home service businesses: HVAC, plumbing, roofing, cleaning, electrical. Average client value: $997–$1,997/month. HVAC client result from Week 1: 23 calls handled by AI, 9 bookings, $3,800 recovered from missed calls. If you’re already working with home service clients on GHL and want to add this as a productized service — DM me. I can walk you through the system and we can figure out if the white-label makes sense for your setup.

For anyone white-labeling or deploying AI for home service clients — here's the actual timeline I run. Day 1 (Import + Connect): - 277-asset GHL snapshot loads - Retell voice agent attached to client number - n8n orchestration layer connected - Missed call text-back live within the first hour Days 2–7 (First Results): - Reactivation campaign targets 90-day dead leads - Post-job review automation fires - Client sees first AI-handled inbound call Days 8–14 (Activation): - Full outbound sequence running - Call transcripts reviewed — qualifying logic adjusted - Emergency routing configured (trade-specific) Days 15–30 (Reporting Layer): - Recovery dashboard live in GHL - New reviews tracked and reported - Reactivated bookings counted The agency angle: you're not selling a chatbot. You're selling a 30-day deployment with a revenue report at the end. That report is your case study for the next client. Pricing structure I run: - DFY setup: $1,500 one-time - Monthly management: $997–$1,497/month - 3-step deploy: Import → Attach API → Collect Margin For the HVAC client: $3,800 in Week 1. $1,500/month ongoing. If you're building something similar — what does your first-month deliverable look like?

Getting DMs after my last post, so here's the full picture. The system is called an AI Rep — it handles everything a home service business misses when they're on-site. 📲 Text Rep (n8n + Claude + GHL): → Fires within 60 sec of any missed call → Qualifies the lead, answers questions, books appointments → Updates GHL pipeline automatically 📞 Voice Rep (Retell + GHL): → Handles inbound calls live when the owner's unavailable → Collects lead info, handles objections, schedules callbacks → Syncs all call outcomes back into GHL 🗄️ Memory layer (Supabase): → Stores lead context across every conversation → AI remembers past interactions — no cold starts The pitch that actually works: Don't sell "AI". Sell "you'll never lose a lead when you're on a job again." For home service businesses (HVAC, plumbing, roofing, electrical) — this positions as a $1,000–2,000/month service that practically sells itself once you show them a live demo. Proof: HVAC client recovered $3,800 in Week 1 from missed calls alone. Now on a $1,500/month retainer. If you're an agency owner looking to add AI Reps as a service to home service clients — drop a comment or DM me. Happy to walk through the full setup and how I pitch it.

For the first 6 months I built every voice AI system custom. New Retell agent. New n8n workflow. New GHL sub-account configuration. Every time. It worked. But it didn’t scale. Then I started using a pre-built AI workforce snapshot as the base layer. Here’s the exact tech stack inside the snapshot: → Retell AI — inbound voice agent, sub-500ms latency, live call routing → n8n — central orchestration layer (all webhook logic lives here) → GHL — CRM state, workflow triggers, SMS delivery → OpenAI — conversation intelligence and qualification logic Instead of rebuilding, I import the snapshot, swap in the client’s Retell API key and phone number, and the full system is live in 48 hours. What the system covers: → Inbound voice agent (after-hours, qualification, booking) → Missed call SMS text-back (60-second response) → Database reactivation (outbound SMS to dormant leads) → Review automation (24h post-job) Margin model: Snapshot: $97–$297/mo Client billing: $497–$997/mo DB Reactivation is the fastest ROI module. First client result: $3,800 recovered in Week 1 from a 14-month-old lead list. The n8n + Retell + GHL stack is the right combination for this. n8n handles all the routing logic, GHL executes the CRM actions, Retell handles the voice conversation. Who else is using this stack? What’s your snapshot deployment workflow?

Sharing a workflow I built for a home service client last month — figured this group would appreciate the n8n angle. The problem: HVAC tech is on a job, phone rings, can't answer. Lead calls the next company on Google. Revenue gone. The fix: n8n webhook triggers on missed call in GHL → Claude generates a contextual reply → SMS sent within 60 seconds. Week 1: $3,800 in recovered bookings from leads who had already moved on. Simple flow: → GHL missed call webhook → n8n → Claude generates reply (personalized by time of day + location) → GHL SMS action The difference-maker was the AI-generated message. Not a generic "we'll call you back" — but a specific, human-sounding reply based on context. Now scaling this to a full AI Rep: → Voice AI (Retell) handles inbound calls when the tech is on-site → Text AI handles SMS follow-ups and booking → All synced back into GHL pipeline automatically Anyone else building home service automation with n8n + GHL? What's your trigger setup look like?