# How Fleetworks uses Vapi

**100+ engineering hours**: “100+ engineering hours saved per month, with all voice infrastructure work eliminated”

As published on [vapi.ai](https://vapi.ai/customers/fleetworks). Captured by usedby on 2026-10-08.

- Company: [Fleetworks](https://www.usedby.ai/companies/fleetworks.md)
- Tool: [Vapi](https://www.usedby.ai/tools/vapi.md)
- Teams: Engineering

## What the story says

Fleetworks builds AI agents for transportation brokers that handle communications with drivers over phone calls, emails, and WhatsApp. It uses Vapi as its voice infrastructure, plugging in its own transcription layer and custom LLM models, so engineers can focus on transportation-specific features.

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

> 100+ engineering hours saved per month, with all voice infrastructure work eliminated

- **10,000+**: “10,000+ AI-driven transportation conversations daily, operating at enterprise scale”

> If they are a tech company that has a lot of opinions on how to run their phone calls, then Vapi is a clear winner.
>
> Quang Tran, CTO & Co-founder

## What usedby checked

We compared the story with its live page on 2026-10-08.

- Checked: the figure 100+ engineering hours is printed word for word on the page, near the name of Fleetworks.
- Checked: the passage quoted above is copied word for word from the page, near the name of Fleetworks.
- Checked: Fleetworks uses Vapi. Confirmed line. Latest check across sources: 2026-10-08.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/fleetworks-vapi · How we check: https://www.usedby.ai/methodology