all case studies
Internal build
Pattern3 R&D
2024

Enterprise AI, at cents per conversation.

A self-hosted assistant on Docker + n8n that answers inquiries from a living knowledge base: enterprise capability without the SaaS subscription stack.

the systemin production

the problem

Automation platforms charge enterprise prices for what is, underneath, a webhook and an API call. Small businesses get priced out of capability they could easily run themselves.

the build

Docker containers running a self-hosted n8n instance process incoming queries through webhooks, consult a continuously updated knowledge base, and respond via GPT-4o.

The only meaningful cost is API usage, typically cents per interaction. The knowledge base evolves with the business, so answers never go stale.

Dockern8n (self-hosted)GPT-4o APIWebhooks

what changed

0%+

cheaper than SaaS automation platforms

0/7

response coverage

0

knowledge base, always current

sound familiar?

If your team is doing this kind of work by hand, the audit pays for itself.

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