What Is Ticket Deflection and How Do You Measure It for AI Support?

Ticket deflection is the percentage of customer issues resolved without creating (or escalating into) a human-handled support ticket. In AI support, deflection is only meaningful if the resolution is accurate and customers are satisfied.

Common ways to measure deflection:

  • True deflection rate: resolved without a ticket + no follow-up contact for X days
  • Containment rate: conversation handled fully in AI channel (chat)
  • Escalation rate: % that required human help
  • Reopen / repeat contact rate: customers coming back on the same issue
  • CSAT / sentiment on deflected interactions: quality guardrail

How Worknet helps: Worknet focuses on increasing the % of requests handled end-to-end by combining self-service, agent assist, and context-preserving escalation—so deflection doesn’t come at the cost of customer experience.

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What is ticket deflection in customer support?
It’s resolving issues without requiring a human-handled ticket.

What’s the difference between containment and deflection?
Containment is staying within the AI channel; deflection is avoiding a human ticket and follow-up.

How long should the “no follow-up” window be?
Typically 3–14 days depending on your support cycle and product usage patterns.

What metrics prevent “bad deflection”?
Reopen rate, repeat contact rate, CSAT/sentiment, and escalation reasons.

How does Worknet improve deflection safely?
By grounding answers in real sources and enabling seamless human escalation with full context.