AI Agents and Chatbots with n8n and OpenAI

Challenge Client needed intelligent automation for 3 critical business processes- qualifying incoming sales leads without manual review, handling repetitive ecommerce customer queries 24/7 and providing accurate answers from internal product documentation instantly

1. Lead Qualifier Agent Intelligent agent that analyzes incoming leads through conversational AI. Asks qualifying questions naturally, extracts structured data (budget, timeline, needs, authority), scores lead quality automatically and syncs formatted data to sales CRM. Eliminated manual lead review saving 15+ hours weekly

2. Ecommerce Customer Support Chatbot Real-time chatbot handling product questions, order inquiries, shipping information and return policies. Integrated with OpenAI for natural conversation, connected to product database for accurate information, operates 24/7 without human intervention. Reduced support team workload by 60%.

3. RAG AI Agent with Document Retrieval Advanced agent using Retrieval Augmented Generation to access internal ecommerce documentation stored in Supabase. When customers ask questions, agent searches relevant documents, retrieves accurate information, and provides cited responses. No hallucinations... all answers grounded in actual company data.

Technical Implementation- Built complete automation workflows in n8n orchestrating all three agents. OpenAI GPT integration for natural language understanding and generation. Supabase database for document storage and retrieval. Custom prompt engineering for each agent's specific role. Error handling and fallback mechanisms for reliability.

Lead qualification- 100% of leads processed automatically

Customer support- 60% reduction in support tickets

Response accuracy- 95%+ with document-grounded answers

Time saved- 20+ hours weekly across teams

24/7 operation with zero downtime

What made this work- Specialized agents for specific tasks instead of one general bot. Smart orchestration with n8n managing complex workflows. RAG implementation ensuring factual, cited responses. Seamless integration with existing business systems