IA-04 · Applied AI

n8n + LLM automation

Self-hosted n8n with LLM as one more workflow node. Low entry cost, immediate value. What most SMEs call "their AI".

Platformn8n self-hosted
DataStays in your infrastructure
Setup3–4 weeks

Not every AI problem needs a custom-trained model. A large number of real cases can be solved with a workflow that connects your tools (CRM, ERP, email, forms, calendar) and places an LLM in the middle to classify, extract data, or draft responses.

We work with n8n self-hosted (open source, data stays in your infrastructure) and connect to Anthropic, OpenAI, or Azure models depending on the case. The entry cost is low compared to bespoke development, and production deployment takes 3–4 weeks.

For many SMEs, this is the best first step into the world of applied AI: low cost, visible value, data control. And if it works, it scales towards more sophisticated services (agents, RAG, enterprise copilot).

TriggerIncoming email
FilterSubject: invoice
LLMExtract data
ValidateSchema OK
OutputCreate in ERP

The n8n + LLM automation process.

The process · four stages
01

Mapping

Candidate processes: structured data, most of the time.

02

Workflow

n8n: connectors, LLM as node, validation.

03

Deployment

Self-hosted in your infrastructure. Open source.

04

Operation

Maintenance, continuous improvement, extension.

What is included

What n8n + LLM automation includes.

The operational detail: what we deliver as part of the engagement and what we keep active afterwards.

  • n8n self-hosted

    Open source in your infrastructure. Data stays in.

  • Standard connectors

    CRM, ERP, email, forms, calendar.

  • LLM as node

    Anthropic, OpenAI, Azure according to policy.

  • Output validation

    Schema validation before acting.

  • Multiple triggers

    Cron, webhook, event.

  • Transparent monthly fee

    Maintenance + tokens + support.

Frequently asked questions about n8n + LLM automation.

n8n vs Zapier?

n8n is open source and self-hosted. Zapier is an opaque SaaS.

LLM billing?

At cost, no markup. Measured per workflow.

When to use an agent?

When multi-step reasoning is required.