An independent publicationEvery case sourced, dated & graded A–DGet the weekly Casefile →
Grade BproductionSource date Oct 17, 2026· Last verified Oct 17, 2026

How is Rippling using AI agents for customer support?

Rippling · Software, Internet & Media

Header image: A sales team meeting in a long conference room

Rippling added Decagon AI agents to chat and email. Decagon reports chat deflection rising from 38% to over 50% and a 7% improvement in conversation routing.

Reported outcomes

chat deflection
from 38% to over 50%
Source [1] · self-reported
conversation routing
7% improvement
Source [1] · self-reported

Outcomes are reported exactly as stated by the source; we have not independently audited them.

How it works

  1. Decagon AI agent answers inbound customer conversations.
  2. Escalates to human agents when needed.

Risks & compliance

  • Incorrect answers to customers; escalation paths needed
  • Vendor-published results; not independently audited
Build this yourself

Tools mentioned & how to build it

Disclosure: Some links may earn us a commission; it never affects grades. Tools are listed by fit to this case, never by payment.

Tools mentioned

  • Decagon (Decagon)
    AI customer-support agents for chat, email and voice.

Build a version yourself

  • n8n
    Open-source workflow automation with AI agent nodes; self-host or cloud.
  • HubSpot (Breeze agents)
    SMB-friendly CRM with Breeze AI agents for prospecting and support.
  • Relevance AI
    Build an 'AI workforce' of agents, e.g. BDR agents that research and book meetings.

All tools by category →

Sources

[1]Decagon· vendor customer story· Undated (accessed Oct 17, 2026)
“This increased chat deflection from 38% to over 50%.”
Rippling and Decagon

Grade rationale: Named organization with a quantified outcome from the vendor or the organization itself (self-reported). Automated check on Oct 17, 2026: 1/1 quotes and 2/2 outcome claims matched the source. Compiled by the Agent Casefile research desk (AI-assisted; see methodology). Spot an error? Request a correction.

Keep reading

Related cases