# How is [solidcore] using a voice AI agent for studio calls?

> [solidcore] piloted Fin on voice after hours and in a few locations. Intercom reports $569k in annual cost savings and 12.6k hours saved annually.

- **Evidence grade:** B — Named organization with a quantified outcome, from the vendor or the organization's own announcement.
- **Organization:** [solidcore] (boutique fitness studio chain)
- **Industry:** Consumer Products & Retail — Fitness studios
- **Roles:** Customer Support
- **Tools:** Fin AI Agent (Intercom)
- **Status:** production · **Agent pattern:** voice-agent · **Autonomy:** 3/4
- **Last verified:** 2026-10-17

## Reported outcomes
- annual cost savings: $569k [1] (self-reported)
- hours saved annually: 12.6k [1] (self-reported)

## How it works
1. Fin answers inbound support conversations using the company's help content.
2. Hands unresolved conversations to human agents.

## Risks & compliance
- Incorrect answers to customers; human review and escalation paths needed
- Vendor-published results; not independently audited

## Sources
1. Intercom (Fin), "[solidcore] and Fin" (undated; accessed 2026-10-17) <https://fin.ai/customers/solidcore>
   > "It began as a quiet pilot after hours and in a few locations to see how well it could handle real-time voice conversations."

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