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Six-branch routing workflow built in GoHighLevel that triages every new contact based on first-touch outcome — Gatekeeper Only, Callback Requested, Decision Maker Interested, Voicemail Left, Inbound Lead, or catch-all. Each branch fires the right next action: intro email, intro SMS (with SMS consent filtering for compliance), task creation for callbacks, or internal team notification. Replaces the "did anyone follow up with that lead?" problem with deterministic routing so no contact slips through after first contact.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Automated Multi-Agent AI Support & Lead Triage Pipeline
Are your high-ticket clients waiting hours for an email response? This intelligent multi-agent n8n workflow instantly screens, analyzes, and responds to customer emails in real-time, utilizing advanced RAG (Retrieval-Augmented Generation) to deliver human-like support instantly.
Project Overview:
This is an enterprise-grade AI automation system designed to eliminate manual customer support queues. Instead of simple auto-replies, it uses a multi-agent routing structure combined with a dynamic knowledge base to handle complex inquiries autonomously.
How It Works (Under the Hood):
Instant Inbound Triage: A Gmail Trigger catches incoming emails instantly, extracting raw content for processing.
AI Intent Classification: An initial OpenAI model acts as a gatekeeper, analyzing the email to determine if it is a valid customer support request or irrelevant noise.
Conditional Routing: An advanced router splits the path: non-support emails receive a polite automated Telegram update, while actual support tickets are routed to the main AI engine.
Context-Aware AI Agent: The core Customer Support Agent is equipped with an OpenAI Chat Model, conversational memory, and a custom Vector Store Tool.
Pinecone RAG Integration: The agent queries a Pinecone Vector Database (powered by OpenAI Text Embeddings) to fetch real-time, accurate company documentation and context, eliminating hallucinations.
Automated Action & Response: Once the resolution is drafted, the system automatically creates a draft in Gmail for review and sends an instant internal notification via Telegram.
Why This Wins Clients (The Value Pitch):
Zero Hallucinations: Connected to a live vector database (Pinecone) so the AI only speaks from approved company data.
Reduced Overhead: Cuts down customer support response times from hours to under 60 seconds.
Production-Ready Architecture: Designed with modern n8n AI sub-nodes, structured tools, and modular scaling capabilities.
AI-Powered CRM Built To Capture And Qualify Leads
Built a lead qualification and CRM workflow that captures inquiries, filters serious prospects, and helps the team follow up faster.
❌ Before Automation
→Leads were coming in, but the process was not clean.
→New inquiries had to be checked manually.
→Some leads needed a quick follow-up.
→Others were not the right fit.
The team had no easy way to separate serious prospects from low-quality leads.
This created 4 problems:
• Slow lead response
• Manual lead checking
• Missed follow-ups
• No clear CRM visibility
Better short version for design:
✅ After Automation
We built an AI-powered lead qualification and CRM system.
The system captures new leads, verifies the information, qualifies prospects, and sends the right data to the CRM. This gives the team a cleaner pipeline and faster follow-up process.
Now the business can see:
• Who the lead is
• What they need
• How serious they are
• Where they are in the pipeline
• What action should happen next
See The Full Workflow here
Can your website qualify leads instently like this?
My website can and it qualify my leads instently.
No unqualified calls, No more discovery calls that goes nowhere, No more stress.
Stunning!
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