The use case: how Rippling deploys Decagon
Rippling uses Decagon's AI agents in chat and email to answer customer questions across its HR, IT, and Finance products. The agents pull in account data through internal APIs, tag and route conversations to the right specialist teams, and assist human support agents.
More reported results
Figures published in Decagon’s case study. They are not independently measured by usedby.
12+ product lines supported
400,000 users supported
This led to an immediate 7% improvement in customer conversation routing.
Rippling collaborated closely with Decagon's engineering team to identify 75+ tags, apply the appropriate routing, and identify scenarios where escalation was required.
In the customer’s words
Rippling has a very broad surface area with distinct products that require unique treatments — we brought this problem statement to Decagon and they delivered.Other AI tools used by Rippling
Other public relationships recorded on usedby.
Explore Rippling’s AI stack
Other companies using Decagon
Customers across industries, with public evidence.
1-800-FlowersConfirmed
ChimeConfirmed
ClassPassConfirmed
CurologyConfirmed
DuolingoConfirmed
FaireConfirmedGo straight to the source
Based on Decagon’s published case study. We check the public evidence; the results are reported by the vendor.
decagon.ai- Source published
- Sep 11, 2026
- Last checked
- Oct 7, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 32%Checked
The figure is on the page; its label is our wording.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Rippling.
- The publication dateChecked
Read from the page’s own metadata, never guessed.
- Rippling uses DecagonChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
This increased chat deflection from 38% to over 50%.