Ticket Deflection
Resolving customer issues before a support ticket is created. Tools answer from your knowledge base in chat or email so fewer issues reach human agents. Deflection rate (deflected / total inquiries) is the core ROI metric for AI support agents.
Written by Max Zeshut
Founder at Agentmelt · Last updated Sep 9, 2026
Example
A Shopify store deploys an AI support agent connected to its help center. Of 1,200 monthly chat sessions, 480 are fully resolved by the agent and never become tickets—a 40% deflection rate.
Frequently asked questions
- What's a realistic deflection rate?
- 20–40% is typical in the first 90 days with a well-maintained knowledge base. Mature deployments with expanded KB coverage and policy integration reach 50–70%.
- Does high deflection hurt customer satisfaction?
- Not if done correctly. Measure CSAT on AI-handled conversations separately from human-handled ones. If AI CSAT drops below human CSAT by more than 10%, tighten the agent's escalation thresholds.