// Case Study
Three Retell AI agents run separate debt-settlement campaigns from a single GHL and n8n stack, with dynamic variable passing, live-transfer routing, and post-call metrics all wired together.
The problem
The sales team could not keep up with outbound volume across multiple campaigns, and call outcomes were not logged consistently. NSF follow-up campaigns ran on disconnected systems.
Leads fell between GHL and Retell with no tracking once a call started, so nobody had a single view of what happened after dial.
GHL workflows push dynamic variables - enrolled debt, campaign, and assigned rep - into n8n via webhook the moment a lead is ready to call.
n8n formats each payload and routes it to the correct Retell agent per campaign, so every call fires with the right script and context.
Three agents are configured - a Follow-Up campaign and two NSF campaigns - each running independently on the shared stack.
Live-transfer routing hands qualified leads to human reps, outbound queuing manages call timing, and post-call metrics land in one Airtable database.
HVAC / Home Services / US
Two voice agents, an SMS text engine, database reactivation, and a 5-system booking chain completing in under 10 seconds.
B2B / AI Services / US
A GPT-4o-mini LangChain agent qualifying B2B leads, handling objections, and booking meetings with Meet links.
Cybersecurity / MSP / US
A full GHL CRM and automation system with a 4-stage pipeline, multi-email nurture, and a reactivation campaign.
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