# How RunBuggy uses Sierra

**1,000 hours**: “Nearly 1,000 hours per month returned to exception handling and high-value work”

As published on [sierra.ai](https://sierra.ai/customers/runbuggy), February 2026. Captured by usedby on 2026-10-07.

- Company: [RunBuggy](https://www.usedby.ai/companies/runbuggy.md)
- Tool: [Sierra](https://www.usedby.ai/tools/sierra.md)
- Teams: Operations, Engineering, Data Science, Solutions Engineering

## What the story says

RunBuggy uses a Sierra-powered voice agent that makes outbound calls to drivers and transporters when shipment status changes, to collect ETAs, confirm assignments, and learn about delays. The collected updates flow into internal systems, and exceptions are escalated to human operators.

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

> Nearly 1,000 hours per month returned to exception handling and high-value work

- **~20%**: “~20% reduction in total monthly calls”
- **~15%**: “~15% reduction in manual operational touchpoints”

## What usedby checked

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

- Checked: the figure 1,000 hours is printed word for word on the page, near the name of RunBuggy.
- Checked: the passage quoted above is copied word for word from the page, near the name of RunBuggy.
- Checked: the publication date is read from the page’s own metadata, never guessed.
- Checked: RunBuggy uses Sierra. 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/runbuggy-sierra · How we check: https://www.usedby.ai/methodology