Every Ticket. Triaged in Seconds.
Classify, route, and auto-resolve support tickets the moment they arrive. 24/7.
The Three-Stage Triage Pipeline
Stage 1: Classification
Every incoming message gets analysed for intent, topic, urgency signals, and sentiment. The AI doesn’t just look for keywords — it understands context. “I’ve been waiting three weeks” gets flagged as high-priority even without the word “urgent.” Classification categories match your existing support taxonomy, so there’s no need to rebuild your support structure.
Stage 2: Routing
Once classified, tickets are routed based on rules you define. Billing queries go to finance. Technical issues go to engineering. VIP customers get escalated automatically. The AI considers multiple signals — a billing query from a customer whose renewal is next month might route to the account manager, not the generic billing queue.
Stage 3: Auto-Response or Escalation
For common, well-documented queries — password resets, delivery tracking, return policies — the AI generates and sends a response immediately from your knowledge base. For everything else, the ticket is assigned to the right person with a summary: what the customer is asking, their history, and a suggested response draft. The agent starts with context instead of reading a thread from scratch.
What Actually Changes
Before: Manual Triage
- ×Every ticket read by a human before any action happens
- ×Average first response time: 4–8 hours (or next business day)
- ×Simple queries take as long to resolve as complex ones
- ×Tickets misrouted to the wrong team, bouncing between queues
- ×Support team overwhelmed during peak periods
- ×No consistent prioritisation — whoever opens the queue first picks what to work on
- ×Night and weekend queries wait until Monday morning
After: AI Triage
- ✓Tickets classified and routed in under 5 seconds
- ✓Simple queries auto-resolved instantly, 24/7
- ✓Complex queries reach the right specialist with full context
- ✓Average human first response time drops to under 30 minutes
- ✓Support team capacity effectively doubles without hiring
- ✓Consistent, data-driven prioritisation across every channel
- ✓Full coverage outside business hours for common queries
Integration Requirements
Help Desk (Zendesk, Freshdesk, Intercom, HubSpot Service Hub)
Ticket ingestion, status updates, response delivery, reporting.
Email (Outlook, Gmail, shared mailboxes)
Direct email triage without requiring customers to use a portal.
Live Chat (Intercom, Drift, Crisp)
Real-time classification and response for chat-based support.
CRM (HubSpot, Salesforce)
Customer context enrichment, account history, contract status.
Knowledge Base
Your existing help docs, FAQs, and product documentation feed the auto-response engine.
Slack / Teams
Internal escalation notifications, team alerts for high-priority tickets.
The triage system plugs into your existing support stack. You don’t need to change your help desk, retrain your team, or rebuild your knowledge base. The AI Audit maps your specific support infrastructure and identifies the best integration approach.
What AI Triage Can’t Handle
Emotionally charged conversations
When a customer is genuinely angry, upset, or threatening to leave, they need a human who can listen, empathise, and make judgement calls. AI can detect the emotional temperature and escalate immediately, but it shouldn’t try to handle the conversation.
Novel or complex technical issues
If a customer reports a problem nobody has seen before, the AI won’t have a knowledge base article to draw on. It classifies it as “unmatched,” assigns it to the appropriate technical team, and gets out of the way.
Negotiation and retention
A customer asking to cancel needs a retention conversation, not an auto-response. AI can flag the cancellation intent and route to a retention specialist with account context, but the conversation itself requires human judgement.
Anything requiring account changes
For security, the AI should never make account modifications (password changes, plan upgrades, data deletions) without human verification. It can prepare the action and present it for agent approval.
Typical Costs and ROI
| Scope | Typical Cost | Typical Impact | Payback Period |
|---|---|---|---|
| Classification and routing only | £3,000 – £6,000 | 50–60% faster first response time | 2–3 months |
| Classification + auto-response for top 20 query types | £6,000 – £12,000 | 30–40% of tickets resolved without human intervention | 2–4 months |
| Full triage pipeline with escalation logic | £10,000 – £20,000 | 2x support team capacity, 24/7 coverage | 3–5 months |
The ROI depends heavily on your ticket volume. At 500 tickets per month, auto-resolving 30% saves meaningful time but the payback is slower. At 5,000 tickets per month, the same 30% auto-resolution rate saves a full-time equivalent in headcount — the payback is almost immediate.
Use the AI Savings Calculator for a rough estimate or book an AI Audit for exact figures based on your actual ticket data.
Frequently Asked Questions
Find Out How Much Time Your Support Team Is Wasting on Triage
The AI Audit analyses your ticket data, identifies the highest-volume query types, and gives you a clear plan to automate triage — with expected resolution rates and cost savings.
Book a Support Automation Audit