# How Experian uses Snorkel AI

**less than three seconds**: “delivering responses in less than three seconds”

As published on [snorkel.ai](https://snorkel.ai/customer-story/how-experian-improved-agent-response-times-under-3-seconds-with-snorkel/), May 2025. Captured by usedby on 2026-10-05.

- Company: [Experian](https://www.usedby.ai/companies/experian.md)
- Tool: [Snorkel AI](https://www.usedby.ai/tools/snorkel-ai.md)
- Industry: [Fintech & Payments](https://www.usedby.ai/companies/industry/fintech-payments.md)
- Teams: Customer support

## What the story says

Experian uses Snorkel to curate data for fine-tuning a Llama3-8b model within an agentic AI system on AWS that drafts replies to customer support emails. The system redacts PII and classifies incoming emails, and a human agent reviews and edits each draft before sending.

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

> Experian has reduced costs and response times while improving customer satisfaction. A survey found that the project boosted Experian’s Net Promoter Score by 8% while delivering responses in less than three seconds.

- **8%**: “A survey found that the project boosted Experian’s Net Promoter Score by 8% while delivering responses in less than three seconds.”

## What usedby checked

We compared the story with its live page on 2026-10-05.

- Checked: the figure less than three seconds is printed word for word on the page, near the name of Experian.
- Checked: the passage quoted above is copied word for word from the page, near the name of Experian.
- Checked: each number in our summary is printed on the page.
- Checked: the publication date is read from the page’s own metadata, never guessed.
- Checked: Experian uses Snorkel AI. 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/experian-snorkel-ai · How we check: https://www.usedby.ai/methodology
