n8n build
Customer Support Agent (RAG)
- n8n
- OpenAI
- RAG
- AI Agents
- Slack
- Email Alerts
The client’s problem
Every support message was answered by hand, replies took several hours, and escalations to a person were inconsistent.
What I built
Developed a context-aware AI support agent using Retrieval-Augmented Generation (RAG) that answers customer inquiries from a structured knowledge base while intelligently escalating complex cases to human agents.
The outcome
Reduced support workload by automating repetitive inquiries while ensuring critical or sensitive issues were escalated immediately to live agents.
Before and after
Routine ticket resolution
100% manual
80% autonomous
Escalation accuracy
Inconsistent
High-confidence routing
Average response time
Several hours
Instant replies
How it works
Path 1
- Customer message
- AI agent searches the knowledge base
- Reply sent
Path 2
- Complex or sensitive case
- Slack and email alert
- Live agent
Path 3
- New file in Drive
- Added to the knowledge base
Your Business Needs Better Systems, Not More Manual Work.
Let’s map the system your business needs.
Prefer a call? Book a 30-minute call.