# How Wayflyer uses Dust

**over 90%**: “The Support Doc Agent delivers a massive efficiency win, cutting runbook creation and maintenance time by over 90%.”

As published on [dust.tt](https://dust.tt/customers/how-wayflyer-built-a-self-tuning-support-flywheel-with-dust). Captured by usedby on 2026-10-18.

- Company: [Wayflyer](https://www.usedby.ai/companies/wayflyer.md)
- Tool: [Dust](https://www.usedby.ai/tools/dust.md)
- Industry: [Fintech & Payments](https://www.usedby.ai/companies/industry/fintech-payments.md)
- Teams: engineering, support

## What the story says

Connects a Jira-triggered support triage agent with an agent that drafts runbook updates after resolution.

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

> The Support Doc Agent delivers a massive efficiency win, cutting runbook creation and maintenance time by over 90%.

> The model is decentralized. Any team can build and publish their own agents.
>
> Mike Smith, Engineering Support Manager

Source: [dust.tt](https://dust.tt/customers/how-wayflyer-built-a-self-tuning-support-flywheel-with-dust), captured 2026-10-18.

## What usedby checked

We compared the story with its live page on 2026-10-18.

- Checked: the figure over 90% is printed word for word on the page, near the name of Wayflyer.
- Checked: the passage quoted above is copied word for word from the page, near the name of Wayflyer.
- Checked: Wayflyer uses Dust. Confirmed line. Latest check across sources: 2026-10-18.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/wayflyer-dust-4410ea · How we check: https://www.usedby.ai/methodology