# How is Noom using AI agents for member support?

> Noom uses Decagon AI agents for member support. Decagon reports deflection improving from 59% to 68% within 30 days.

- **Evidence grade:** B — Named organization with a quantified outcome, from the vendor or the organization's own announcement.
- **Organization:** Noom (digital health and weight-management company)
- **Industry:** Consumer Products & Retail — Consumer digital health
- **Roles:** Customer Support
- **Tools:** Decagon AI agent (Decagon)
- **Status:** production · **Agent pattern:** autonomous-agent · **Autonomy:** 3/4
- **Last verified:** 2026-10-17

## Reported outcomes
- support deflection: from 59% to 68% within 30 days [1] (self-reported)

## 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

## Sources
1. Decagon, "Noom and Decagon" (undated; accessed 2026-10-17) <https://decagon.ai/case-studies/noom>
   > "Within just 30 days, support deflection improved from 59% to 68%, driving greater efficiency and satisfaction."

Canonical: https://agentcasefile.com/cases/noom-decagon-ai-agent/ · License: CC BY 4.0 (summary) · Source: Agent Casefile