Customer ops · Workflow pattern

How companies automate support ticket resolution

Evidence from Klarna, Synthesia, Intercom Fin, Koralplay, and DoorDash. The common structure, what the deflection rates actually look like, and where every deployment fails first.

Common implementation pattern
  • Ticket arrives via chat, email, voice, or in-app widget
  • Intent classification — what type of issue is this?
  • Knowledge base search — does a documented answer exist?
  • AI response generated with a confidence score
  • Auto-sent if confidence is above threshold; routed to human agent if below
  • Human escalation path always present — never a dead end
Researched workflow structure
Reconstructed from public sources and documented patterns — not a guarantee any one team runs it exactly this way.
1
Ticket in
Trigger
Chat, email, voice, or in-app
→
2
Classify
Classification
Intent type and urgency
→
3
KB search
Retrieval
Find matching answer
→
4
AI response
AI generation
Generate + confidence score
→
5
Route
Action
Auto-send or escalate to agent