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🤖 AI Sales Agent | n8n | AI-Powered Lead Qualification
Built an AI-powered Sales Agent using n8n that goes beyond answering customer questions. It engages potential customers in natural conversations, understands their requirements, and automatically qualifies leads.
Key Features
💬 Natural AI-powered conversations
🧠 Conversation memory and contextual responses
🎯 Customer requirement analysis
📋 Service and requirement matching
💰 Budget and timeline identification
👤 Decision-making authority detection
🔥 Buying intent and lead temperature analysis
📊 Structured lead records in Google Sheets
How It Works
Customer Message → AI Sales Agent → Conversation Analysis → Requirement Matching → Lead Qualification → Google Sheets
The agent asks one relevant question at a time instead of overwhelming customers with multiple questions. It uses conversation context to guide the interaction and gradually gathers the information needed for lead qualification.
Tech Stack
n8n, AI Agents, LLMs, Google Sheets, Memory, Webhooks, JavaScript, API Automation
Project Goal
Create a practical AI sales assistant that improves customer interactions, captures useful sales information, and helps businesses organize and manage leads more efficiently.
This project demonstrates how AI agents can combine natural conversations with structured business workflows.
#AIAutomation #AIAgents #n8n #SalesAutomation #LeadQualification #AIDevelopment #WorkflowAutomation
The agent pulling lead details from the chat and feeding them straight into the CRM really trims the manual entry step.
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