Building AI-Powered Customer Support: A Practical Guide
Build an AI-powered customer support system using AI agents and MCP servers.
AI-powered support handles 60-80% of routine inquiries. Here's how to build one.
Architecture
- Knowledge Base — Product docs, FAQs
- Classification Engine — Categorize tickets
- Response Generator — Personalized responses
- Escalation Logic — Route complex issues
Implementation
Use Memory MCP or RAG Docs MCP for the knowledge base. Build classification with few-shot examples. Auto-respond above 85% confidence. Escalate negative sentiment + complex issues.
Key Metrics
- Auto-resolution rate: 60-80%
- Customer satisfaction (CSAT)
- Average response time
See full workflow for details.