ClassPass deployed Decagon AI agents in chat. ClassPass reports 10x higher deflection at launch than anticipated, letting it expand chat from 16 hours 5 days a week to 24/7.
Reported outcomes
deflection vs plan
10x higher at launch than anticipated
Source [1] · self-reported
chat hours
from 16 hours 5 days a week to 24 hours 7 days a week
Source [1] · self-reported
Outcomes are reported exactly as stated by the source; we have not independently audited them.
How it works
- Decagon AI agent answers inbound customer conversations.
- 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
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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.
Sources
“we saw 10x higher deflection at launch than we anticipated.”ClassPass 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.
