AI Customer Service Agent
19 modular n8n workflows that classify, route, and auto-respond to customer support tickets with AI-powered intelligence and continuous learning.
Screenshot coming soon
The Challenge
An e-commerce brand selling physical products was drowning in repetitive support tickets — tracking inquiries, return requests, troubleshooting questions, and FAQs. Agents were spending most of their time on tickets that followed predictable patterns, leaving less time for complex issues that actually needed human attention.
The Solution
Designed and built a modular automation system of 19 interconnected n8n workflows. An AI classifier analyzes incoming tickets and routes them to specialized flows — troubleshooting, returns, order status, lost packages, and more. Each flow generates contextual responses using knowledge base articles, while a learning system improves accuracy over time.
Key Features
AI Ticket Classification
Incoming tickets are analyzed by AI to determine intent, urgency, and the appropriate handling flow.
Early Exit Patterns
Simple, common tickets (tracking inquiries, basic FAQs) are handled instantly without full AI processing.
Specialized Flows
Dedicated workflows for troubleshooting, returns/refunds, order status, lost packages, and missing items.
Human Escalation
Complex cases are automatically escalated to human agents with full context and suggested responses.
Template Matching
Response templates are matched to ticket patterns and synced with the support platform's macro system.
Metrics & Learning
Every interaction is logged. Pattern matching improves over time based on corrections and validations.
How It Works
Ticket Arrives
A new support ticket triggers the main router workflow, which performs initial analysis and spam filtering.
AI Classification
The AI engine classifies the ticket by type (troubleshooting, return, FAQ, etc.) and extracts key information.
Specialized Processing
The ticket is routed to the appropriate specialized workflow, which generates a contextual response using knowledge base data.
Response & Learning
The AI response is delivered to the customer. The metrics logger records the interaction for continuous improvement.
Tech Stack
Results
First response time
Modular automation system
Across all responses
For every ticket