Customer support teams face a constant flood of tickets. With n8n and AI, you can automate routine workso agents focus on complex cases. Here are seven high-impact workflows to implement:
1. Incoming Triage: Webhook or email trigger → AI classifies urgency and topic → add priority label
and route to correct queue.
2. Auto-Response for FAQs: If confidence score above threshold, send a templated reply generated by
the AI; otherwise escalate to agent.
3. Knowledge Base Suggestion: On new ticket, call a semantic search over KB and surface top articles
to the agent and user.
4. Sentiment Alerts: Run sentiment analysis on messages; flag negative-sentiment tickets for fast
follow-up.
5. Auto-Ticket Tagging: Extract entities and tags from conversations automatically, enabling better
reporting.
6. Resolution Summaries: After agent closes a ticket, generate a short summary and store it in CRM.
7. Feedback Loop: Collect user ratings and feed anonymized closed-ticket data back into model
retraining (when compliant).
Implementing these workflows in n8n typically uses a combo of webhooks, HTTP request nodes (to call AI
APIs), conditional branches, and integrations with Slack, email, or CRMs. Start with triage and auto-response
— they deliver immediate time savings.
Want templates? Export these 7 workflows as JSON and import into your n8n instance to get started.
