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Chainfill Trust Center

AI and the EU AI Act

How Chainfill uses AI, what happens to your data and which controls you have.

What we do with your data

We do not train AI models on customer data. Corrections, examples and rules form company-specific memory used only for your company.

The AI addendum reserves the right to use input and output to improve the service, including training our own models. That right is separate from our current practice. Use to develop third-party AI models requires your written consent. Request the addendum for the full terms.

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Models and processing

For document processing, we use Google-hosted models through Google Cloud Vertex AI in the Netherlands. The subprocessor list describes services and processing locations.

Model selection

Models can be selected per company, document type and configuration. There is therefore no single fixed model for all customers and all document types.

Roles under the Regulation

The model provider is the provider of the general-purpose AI model. Chainfill builds a document processing AI system on top of it. You deploy that system inside your own process and remain responsible for the decisions you take on the basis of its output.

Human oversight

By default, a user reviews and approves an extraction before export. In the inspect view, you can review, correct and compare values with the source document. Configured validation and business rules check data and can block export.

You can enable automatic export for trusted suppliers and document flows. Documents then proceed without manual approval when they meet your configured conditions. Configured validation and duplicate checks remain active. Our terms prohibit use for automated decisions with legal effects without appropriate human intervention.

Checking AI results

AI can extract data incorrectly or incompletely. Review results and configure validation rules and automatic export to match the risks in your process.

AI literacy

During onboarding and training, we show planners and key users how to review results, correct errors and configure automation. The documentation explains capabilities and limitations.

Transparency

Chainfill users know they are working with an AI system: extraction fields show their origin and confidence, and AI-generated drafts are recognisable as such before anyone sends them. The AI addendum to our agreement records the arrangements on model updates, input, output and rights, and is available on request.

The EU AI Act

The European Commission publishes current rules and application dates. Our AI addendum sets out the agreements on AI functionality and data use.

Read the European Commission guidance