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How Fullscript uses n8n

3600 hours

“set to save 3600 hours of engineering time each year, by reducing security investigations by 97%”

As published on n8n.io. Captured by usedby on Oct 7, 2026.

What happened

Fullscript rolled out n8n across the organization so employees can build their own AI workflows without relying on the AI/ML engineering team. Examples include an automated security investigation workflow that uses a Slack bot and an AI agent to produce audit reports, and a compliance workflow for reviewing practitioner call recordings.

Summary written by usedby from the source page, in English. The figures are those of n8n and Fullscript, not ours.

  • 130“The educational push was so successful that more than 130 new workflows were created at a recent organization-wide hackathon.”
  • 13,000“going through 13,000 monthly calls by hand”
  • 200“Today, more than 200 Fullscript employees use n8n – more than 30% of the organization, with 23 workflows currently in production, and more to come.”

One workflow that came from the hackathon is set to save 3600 hours of engineering time each year, by reducing security investigations by 97%.

From the page. n8n.io, captured Oct 7, 2026

Investigations used to take weeks, because we never could make it easy, but now it’s just a Slack message,

Sahar Rahmani, Director of Internal AI, Fullscript. Source, captured Oct 7, 2026

What the story claims, and what we checked

We compared the story with its live page on Oct 7, 2026.

  • The figure: 3600 hoursCheckedPrinted word for word on the page, near the name of Fullscript.
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Fullscript.
  • The numbers in our summaryCheckedEach one is printed on the page.
  • Fullscript uses n8nCheckedConfirmed line. Latest check across sources: Oct 7, 2026.
  • The result itselfNot checkedWe quote it; we did not measure it.

Same company, same tool or same industry.

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