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n8n-nodes-aiact

v0.2.1

Published

VerifactAI: check AI workflows against the EU AI Act and record auditable evidence

Downloads

566

Readme

n8n-nodes-aiact

Check AI workflows against the EU AI Act and record auditable evidence, without leaving n8n.

This is an n8n community node for VerifactAI. The VerifactAI API classifies a declared AI system, returns the obligations that apply to it today, and appends a tamper-evident evidence record for every check.

Installation · Operations · Credentials · Usage · Video walkthrough · Resources

Video walkthrough

▶ Watch the node in action on YouTube — installing the node, creating the credential, declaring a system and running a compliance check before an AI call.

Installation

Follow the community nodes installation guide and install n8n-nodes-aiact.

Operations

Compliance Check

  • Run Check — evaluate a declared system and append an evidence record. Returns the decision (allow, warn, review, block), the risk level, the obligations that apply today, the missing controls, and the evidence ID.

System

  • Create — declare a system once: role, EU scope, what it does, who it affects.
  • Get, Get Many, Update — read and maintain the register, including the controls you have implemented, their attestations, the strict mode setting, and the rule pack version the system is pinned to.

Evidence

  • Get Many — retrieve the evidence chain of a system together with its integrity verification.
  • Get — retrieve a single record.

Credentials

Create an account on VerifactAI. Your API key is emailed to you as soon as the account is created. It is shown only once: store it in your password manager.

In n8n, create a VerifactAI API credential and paste the key. Leave Base URL on its default, https://api.verifactai.app, unless you run a self-hosted or regional instance.

Usage

1. Declare the system once

Use System → Create, or the VerifactAI register. A minimal declaration for a support chatbot:

{
  "role": "provider",
  "eu_nexus": true,
  "interacts_with_humans": true,
  "generates_content": true
}

You get a system ID such as sys_8f2a. The rule pack version is pinned at this point, so a decision taken today stays reproducible after the law changes.

2. Check on every run

Put Compliance Check → Run Check before your LLM or agent node, select the system, and branch on decision with an IF node. example-workflow.json in this package is a ready-made version of that pattern.

A typical response:

{
  "decision": "warn",
  "risk_level": "transparency",
  "obligations": [
    { "id": "ART_50_1_DISCLOSURE", "article": "Article 50(1)" }
  ],
  "controls_missing": ["disclose_ai_interaction"],
  "would_block_in_strict": ["disclose_ai_interaction"],
  "evidence_id": "evt_m2k9x1c"
}

3. Move to strict mode when you are ready

Set Strict Mode to dry_run first. Nothing is blocked, but would_block_in_strict tells you exactly what would stop once you switch it on. Close those gaps, then set it to on.

Note that only runtime controls can block a call. Organisational controls, such as AI literacy training, are reported as missing but never stop a workflow: no node can implement a training programme.

4. High-risk systems: attest your controls

A system in an Annex III area (recruitment, credit scoring, education, biometrics, essential services…) carries the provider or deployer obligations of Articles 8 to 27, applicable from 2 December 2027. The rule pack lists them article by article, with one control each.

Ticking a control says it is in place. Control Attestations say who vouches for it, on which document, and until when:

{
  "quality_management_system": {
    "owner": "Head of Quality",
    "document_ref": "QMS-001 v3",
    "verified_at": "2027-11-15",
    "verified_by": "Internal audit",
    "valid_until": "2028-11-15",
    "standard_id": "en_18286_2026",
    "clause": "7.2"
  }
}

Past valid_until, the control counts as missing again and the dossier says why. standard_id refers to a recognised standard listed by GET /v1/packs/:ref/schema — today EN 18286:2026 (harmonised standard for the Article 17 quality management system, presumption of conformity limited to that requirement) and the Code of Practice on marking and labelling AI-generated content (voluntary). An attestation documents how a control was implemented; it never certifies the system.

Enabling Fail on Block

By default a blocked decision flows through as data, so you can branch on it. Turn on Fail on Block if you would rather have the node raise an error and route the item to the error output.

Data sent

The node sends the system ID and optional metadata: model name, purpose, actor. Prompts, responses and message content are never transmitted.

Rule pack versions

Each system is pinned to the version of the rules it was declared with, so a decision taken in March is reproducible with the law of March. When a new version is published (for example after the Digital Omnibus or a new harmonised standard), move a system to it with System → Update → Rule Pack Version. The declaration is re-validated against the new version; evidence already recorded keeps the version it was produced with.

Compatibility

Tested with n8n 1.60 and later. Requires Node.js 20.15 or later.

Resources

Disclaimer

This node reports the obligations identified for a declared system and the controls applied to it. It does not constitute legal advice and does not guarantee compliance.

Licence

MIT