# How Qonto uses Dust

**50,000 hours**: “Dust AI agents can remove at least 50,000 hours of work per year”

As published on [dust.tt](https://dust.tt/customers/qonto-dust-ai-partnership), September 2024. Captured by usedby on 2026-10-24.

- Company: [Qonto](https://www.usedby.ai/companies/qonto.md)
- Tool: [Dust](https://www.usedby.ai/tools/dust.md)
- Industry: [Fintech & Payments](https://www.usedby.ai/companies/industry/fintech-payments.md)
- Teams: Customer Support, Operations, Product, Legal, Compliance, Content

## The use case: how Qonto deploys Dust

Qonto built specialized AI agents on Dust and made the platform available across the company. One agent classifies companies by legal sector and screens for prohibited activities during onboarding, and another localizes content for its four markets.

Summary written by usedby from the source page, in English. The figures are those of Dust and Qonto, not ours.

> We estimate that Dust AI agents can remove at least 50,000 hours of work per year, and perhaps a lot more. Some use cases pay off in a matter of hours!

- **70%**: “Content teams have reduced time spent on localization tasks by up to 70%.”
- **50**: “These are just two examples out of 50 specialized AI agents used every day by over a thousand Qontoers to increase efficiency and improve accuracy.”
- **200**: “Tolki uses a comprehensive database containing over 200 localization instructions.”

> We estimate that Dust AI agents can remove at least 50,000 hours of work per year, and perhaps a lot more. Some use cases pay off in a matter of hours!
>
> Aymeric Augustin, CTO

Source: [dust.tt](https://dust.tt/customers/qonto-dust-ai-partnership), captured 2026-10-24.

## Other AI tools used by Qonto

- [Claude](https://www.usedby.ai/tools/claude.md) — Confirmed
- [ComplyAdvantage](https://www.usedby.ai/tools/complyadvantage.md) — Confirmed
- [Metaview](https://www.usedby.ai/tools/metaview.md) — Confirmed
- [Modjo](https://www.usedby.ai/tools/modjo.md) — Observed
- [Notion](https://www.usedby.ai/tools/notion.md) — Observed
- [Cursor](https://www.usedby.ai/tools/cursor.md) — Signal

## Dust users in Fintech & Payments

- [Kyriba](https://www.usedby.ai/companies/kyriba.md) — Confirmed
- [Paddle](https://www.usedby.ai/companies/paddle.md) — Confirmed
- [Spendesk](https://www.usedby.ai/companies/spendesk.md) — Confirmed
- [Wayflyer](https://www.usedby.ai/companies/wayflyer.md) — Confirmed

## What usedby checked

We compared the story with its live page on 2026-10-24.

- Checked: the figure 50,000 hours is printed word for word on the page, near the name of Qonto.
- Checked: the passage quoted above is copied word for word from the page, near the name of Qonto.
- Checked: the publication date is read from the page’s own metadata, never guessed.
- Checked: Qonto uses Dust. Confirmed line. Latest check across sources: 2026-10-24.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/how-qonto-achieved-70-faster-localization-with-dust-a7a6297e · How we check: https://www.usedby.ai/methodology