# How did Databox use an AI agent to support revenue growth?

> Databox uses Fin for customer support. Intercom reports a 55% Fin deflection rate, a 50% increase in team productivity, and 40% more revenue, which Intercom attributes to Fin.

- **Evidence grade:** B — Named organization with a quantified outcome, from the vendor or the organization's own announcement.
- **Organization:** Databox (business analytics software company)
- **Industry:** Software, Internet & Media — SaaS (analytics)
- **Roles:** Customer Support
- **Tools:** Fin AI Agent (Intercom)
- **Status:** production · **Agent pattern:** autonomous-agent · **Autonomy:** 3/4
- **Last verified:** 2026-10-17

## Reported outcomes
- Fin deflection rate: 55% [1] (self-reported)
- team productivity: 50% increase [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; escalation paths needed
- Vendor-published results; not independently audited
- Revenue attribution to the agent is the vendor's framing

## Sources
1. Intercom (Fin), "Databox and Fin" (undated; accessed 2026-10-17) <https://fin.ai/customers/databox>
   > "Databox generates 40% more revenue thanks to Fin"

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