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VerifactAI

Last updated Oct 26, 2026

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

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Included Nodes

VerifactAI

Description

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,
      "interactswithhumans": 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": "ART501_DISCLOSURE", "article": "Article 50(1)" }
      ],
      "controlsmissing": ["discloseai_interaction"],
      "wouldblockinstrict": ["discloseai_interaction"],
      "evidenceid": "evtm2k9x1c"
    }
    

    3. Move to strict mode when you are ready

    Set Strict Mode to dry_run first. Nothing is blocked, but
    wouldblockin_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:

    {
      "qualitymanagementsystem": {
        "owner": "Head of Quality",
        "document_ref": "QMS-001 v3",
        "verified_at": "2027-11-15",
        "verified_by": "Internal audit",
        "valid_until": "2028-11-15",
        "standardid": "en18286_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

  • n8n community nodes documentation
  • VerifactAI
  • Video walkthrough
  • Source code and issues
  • EU AI Act, Regulation (EU) 2024/1689

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

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