# How Clay uses Wispr Flow

**$3.08M**: “$3.08M estimated cost savings per year”

As published on [wisprflow.ai](https://wisprflow.ai/case-study/clay). Captured by usedby on 2026-10-07.

- Company: [Clay](https://www.usedby.ai/companies/clay.md)
- Tool: [Wispr Flow](https://www.usedby.ai/tools/wispr-flow.md)
- Industry: [Sales Tech & CRM](https://www.usedby.ai/companies/industry/sales-tech-crm.md)
- Teams: GTM, Revenue

## What the story says

Clay's go-to-market and revenue team uses Wispr Flow as a voice input layer across its tools, dictating demo prompts, email follow-ups, Slack handoffs, meeting context for AI tools, tasks, and CRM notes instead of typing them.

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

> With Flow, voice becomes the default input layer across Clay’s entire GTM tech stack, from live demos, follow-ups, AI prompts, internal messages, and CRM updates.

- **52%**: “52% faster customer response times”
- **20%**: “20% more customer calls per day”
- **~50%**: “~50% of Clay’s GTM and revenue organization adopted Flow within the 1-month pilot”

> With Flow, I can give ChatGPT 10x the context in half the time and it will do a far better job of actually returning me the results that I want.
>
> Yash Tekriwal, Head of Education and 1st GTM Engineer

## What usedby checked

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

- Checked: the figure $3.08M is printed word for word on the page, near the name of Clay.
- Checked: the passage quoted above is copied word for word from the page, near the name of Clay.
- Checked: Clay uses Wispr Flow. 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/clay-wispr-flow · How we check: https://www.usedby.ai/methodology