What it does
It automatically categorises incoming support requests by type and urgency, routes them to the right team member, and provides a summary with suggested responses. SLA timers start immediately so nothing gets forgotten.
Why I recommend it
Manual triage wastes time, creates inconsistent response times, and lets urgent issues hide in the queue. Automated triage ensures every request gets the right attention at the right speed, and your team focuses on solving instead of sorting.
Expected benefits
- Faster response times with consistent prioritisation
- Less time sorting and assigning tickets
- Better team utilisation by routing to specialists
- Fewer missed or delayed urgent issues
How it works
Support message arrives → AI categorises by type (billing, technical, how-to) and urgency → assigns to right team member → creates ticket with summary and context → starts SLA timer → optionally drafts initial response.
Quick start
Start with simple category rules based on keywords (billing, login, error, feature request). Manually assign the first few from each category to establish patterns. Then automate assignment and add AI classification once you trust the accuracy.
Level-up version
Pull customer context from CRM (subscription tier, history, lifetime value) to adjust priority. Generate response suggestions based on past resolved tickets with similar issues. Add escalation rules for VIP clients or repeated contacts.
Tools you can use
Helpdesk: Zendesk, Freshdesk, Help Scout, Front
Email: Gmail, Outlook
AI: ChatGPT, Claude
CRM: GoHighLevel, HubSpot, Pipedrive
Automation: Zapier, Make, n8n
Technical implementation solution
- No-code: Email or helpdesk trigger → AI classification → assign based on rules → create ticket → start timer → draught response suggestion.
- API-based: Incoming message webhook → AI API categorises and extracts summary → helpdesk API creates ticket with assignments → CRM lookup for context → message API notifies assignee.
Where it gets tricky
- Training ai to accurately distinguish urgent from routine
- Handling edge cases that don’t fit categories
- Preventing misrouting that delays critical issues
