n8n · Case Study
AI Agent Email Workflow
The problem
Email triage and first responses were eating the team's hours. Every message needed a human to read it, decide what it was, and start a reply. The inbox set the agenda for the whole day.
What I built
A multi-agent email system in n8n. One model triages, specialized agents respond:
- GPT-4.1-mini classifies every incoming email by type and urgency
- Routing logic hands each email to the right specialized agent
- A Claude 3.7 agent handles support conversations
- Auto-labeling keeps the inbox organized without human sorting
- Response drafts are ready before anyone opens the thread
The result
Email triage and first-draft responses handled autonomously at scale. Humans review and send. They no longer start from zero.
