# How Regal uses QA Wolf

**$500K/yr**: “$500K/yr saved in QA engineering and infrastructure costs”

As published on [qawolf.com](https://www.qawolf.com/customers/regal). Captured by usedby on 2026-10-07.

- Company: [Regal](https://www.usedby.ai/companies/regal.md)
- Tool: [QA Wolf](https://www.usedby.ai/tools/qa-wolf.md)
- Industry: [Sales Tech & CRM](https://www.usedby.ai/companies/industry/sales-tech-crm.md)
- Teams: Engineering, Product Management

## What the story says

Regal uses QA Wolf to automate end-to-end testing of its outbound phone and SMS platform, replacing manual validation of each pull request by product managers and leadership. The tests run in parallel so developers see regressions quickly while deploying continuously.

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

> QA Wolf returned 2–3 days of time each week that product managers were spending on manual QA validating each PR before release, limiting their ability to focus on other critical work and creating bottlenecks in the continuous deployment process.

- **90%**: “Cut QA cycles from 2 hours to 10 minutes, a 90% reduction.”
- **80%**: “0 to 80% E2E test coverage for the cost of one QA engineer.”
- **2–3 days per week**: “Returned 2–3 days per week of product manager time that was going to manual testing.”
- **390**: “QA Wolf tests 390 separate workflows from data ingest to outbound messaging to task creation—80% of the app’s total footprint.”

> The ability to run tests in full parallel is magical and incredibly valuable. Our developers don’t have to wait hours for tests to run, they can see regressions in minutes, fix the issue, and continue the deployment without slowing down.
>
> Rebecca Greene, co-founder & CTO

## What usedby checked

We compared the story with its live page on 2026-10-07.

- Checked: the figure $500K/yr is printed word for word on the page, near the name of Regal.
- Checked: the passage quoted above is copied word for word from the page, near the name of Regal.
- Checked: Regal uses QA Wolf. Confirmed line. Latest check across sources: 2026-10-07.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/regal-qa-wolf · How we check: https://www.usedby.ai/methodology