34%
“ticket resolution time improved up to 34%”
As published on decagon.ai, July 2026. Captured by usedby on Oct 7, 2026.
What happened
Notion uses Decagon's chat AI agent to handle its customer inquiries, routing tickets to the right expert and automating repetitive questions so human agents can focus on higher-value work.
Summary written by usedby from the source page, in English. The figures are those of Decagon and Notion, not ours.
- 3.4%“With an average ask for human rate of 3.4%, what once required multiple steps and manual intervention is now handled seamlessly and intelligently, freeing up resources for higher-value work.”
The first major impact of implementing Decagon was ticket resolution time improved up to 34%. With intelligent routing ensuring customers reached the right expert faster, misrouted tickets and unnecessary escalations became a thing of the past.
We conducted a rigorous RFP process, evaluating everything from interaction quality and user interface to the depth of integrations, product roadmap, and the caliber of engagement and partnership offered. Decagon stood out across the board - not just in these core areas, but also through their close collaboration with our technical team and their ability to meet our stringent security and compliance standards.
What the story claims, and what we checked
We compared the story with its live page on Oct 7, 2026.
- The figure: 34%CheckedPrinted word for word on the page, near the name of Notion.
- The passage quoted aboveCheckedCopied word for word from the page, near the name of Notion.
- The publication dateCheckedRead from the page’s own metadata, never guessed.
- Notion uses DecagonCheckedConfirmed line. Latest check across sources: Oct 7, 2026.
- The result itselfNot checkedWe quote it; we did not measure it.
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