# How is Curology using AI agents for patient support?

> Curology, a D2C prescription skincare company that has treated nearly 6 million patients, uses Decagon AI agents for support. Decagon reports chat rising from 5% to 80% of ticket volume and support operation costs cut by 65%.

- **Evidence grade:** B — Named organization with a quantified outcome, from the vendor or the organization's own announcement.
- **Organization:** Curology (direct-to-consumer telehealth dermatology company)
- **Industry:** Hospitals & Health Systems — Telehealth dermatology (D2C)
- **Roles:** Customer Support
- **Tools:** Decagon AI agent (Decagon)
- **Status:** production · **Agent pattern:** autonomous-agent · **Autonomy:** 3/4
- **Last verified:** 2026-10-17

## Reported outcomes
- chat share of tickets: from 5% to 80% [1] (self-reported)
- support operation costs: reduced by 65% [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
- Health information; clinical questions must route to clinicians

## Sources
1. Decagon, "Curology and Decagon" (undated; accessed 2026-10-17) <https://decagon.ai/case-studies/curology>
   > "Since implementing Decagon, Curology has significantly reduced customer support operation costs by 65%."

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