Support Ticket Triage AI
AI ticket classification, routing, and response drafting — first response in 30 seconds.
What needed
solving
Support teams were manually reading, categorising, and routing every ticket, then drafting first responses from scratch. High-priority bugs were buried under billing questions.
The automation steps
New support ticket created via email, Intercom, or Zendesk
AI classifies type, severity, and product area; checks knowledge base
Auto-draft response sent for urgent/simple tickets; complex tickets routed with context
P1 bugs escalated to engineering Slack immediately with full context
How the workflow runs
Each step fires automatically. Click "Simulate run" to see the sequence.
Click "Simulate run" to see the automation sequence step by step.
The numbers
Concrete, measurable outcomes delivered in production.
From brief to production
Discovery & scoping
We map the problem, understand the existing stack, and write a fixed-price proposal. No surprises.
1–3 DAYSBuild & weekly demos
You see working software every week. Feedback is incorporated immediately — not at the end.
2–4 WEEKSTesting & QA
Every integration is stress-tested before go-live. Edge cases handled, fallbacks in place.
3–5 DAYSGo live & handover
Full documentation, team training, monitoring setup, and 30-day post-launch support.
1 WEEKYou might also need
Build this for my business
Book a free 30-minute call. We'll scope your automation and tell you exactly what it would cost.