# How SanctifAi uses n8n

**three times faster**: “three times faster than writing Python controls for LangChain”

As published on [n8n.io](https://n8n.io/case-studies/sanctifai/). Captured by usedby on 2026-10-07.

- Company: [SanctifAi](https://www.usedby.ai/companies/sanctifai.md)
- Tool: [n8n](https://www.usedby.ai/tools/n8n.md)
- Industry: [Artificial Intelligence](https://www.usedby.ai/companies/industry/artificial-intelligence.md)
- Teams: Product

## What the story says

SanctifAI uses n8n to configure its Human as a Tool and Human as a Model products, routing tasks from AI agent workflows to human workers across its workforce network and streaming responses back. n8n sits at the core of its products and lets product managers build and test workflows directly.

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

> SanctifAI spun up its first n8n workflow in little over two hours, leveraging n8n’s out-of-the-box capabilities including the unique visual interface, queuing systems, routing systems, and schedulers – three times faster than writing Python controls for LangChain.

> n8n provided an immediate method to build and test agent and agent workflows for ourselves and our customers
>
> Nathaniel Gates, Founder and CEO

## What usedby checked

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

- Checked: the figure three times faster is printed word for word on the page, near the name of SanctifAi.
- Checked: the passage quoted above is copied word for word from the page, near the name of SanctifAi.
- Checked: each number in our summary is printed on the page.
- Checked: SanctifAi uses n8n. 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/sanctifai-n8n · How we check: https://www.usedby.ai/methodology