# How Profound uses Dust

**1,800+ hours**: “1,800+ hours reclaimed per month across the post-sales team”

As published on [dust.tt](https://dust.tt/customers/profound-post-sales-team-reclaimed-1800-hours), April 2026. Captured by usedby on 2026-10-02.

- Company: [Profound](https://www.usedby.ai/companies/profound.md)
- Tool: [Dust](https://www.usedby.ai/tools/dust.md)
- Teams: Customer Support, Sales

## What the story says

Profound's post-sales team uses Dust agents to answer customer questions from data across Salesforce, Pylon, product analytics and meeting notes, and to automatically generate quarterly business reviews, audits and decks. Dust also gives new hires access to the team's shared knowledge.

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

> AI Agent #2: EMAnalyst handles the heavy lifting of report generation. It automates the creation of quarterly business reviews, baseline audits, and comprehensive decks (30-35 slides) that used to take hours of manual work.

- **400+**: “Day-one new hires now productive immediately, with AI agents serving as single source of truth across 400+ customers”

> Dust is a huge time-saver that instantly pulls up complex product info like exactly how our data sourcing works right when I need it. It also helps me flip those technical details into simple customer-ready messages, which lets me get back to clients way faster and with a lot more confidence
>
> Kree Zhang, Engagement Manager

## What usedby checked

We compared the story with its live page on 2026-10-03.

- Checked: the figure 1,800+ hours is printed word for word on the page, near the name of Profound.
- Checked: the passage quoted above is copied word for word from the page, near the name of Profound.
- Checked: the publication date is read from the page’s own metadata, never guessed.
- Checked: Profound uses Dust. Confirmed line. Latest check across sources: 2026-10-05.
- Not checked: the result itself. We quote it; we did not measure it.

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