AI Regulation

Regulation, handled proportionately.

If you deploy AI in your business, you are accountable for how it behaves. That principle now runs through the EU AI Act and the frameworks emerging alongside it, and we think it is the right principle: it is how we build anyway. Renaix systems are designed so that the controls regulation expects are properties of the system itself, not paperwork produced after the fact.

Where your use case sits: the EU AI Act in four tiers

Minimal risk

Most business AI applications sit here: internal document processing, summarisation, reconciliation support, operational reporting. No mandatory obligations; voluntary good practice applies. Most Renaix workflow systems operate in this tier.

Limited risk

Transparency obligations: people must know when they are interacting with AI, and AI-generated content must be identifiable. Relevant when a system drafts customer-facing correspondence.

High risk

A full compliance regime: risk management, data governance, technical documentation, human oversight, accuracy monitoring, conformity assessment. Applies to specific uses such as creditworthiness, recruitment screening, or insurance claim decisions. We tell you before a workflow enters this tier, and we scope the obligations into the engagement or advise against the use case.

Prohibited

Practices banned outright, such as social scoring or exploiting vulnerable groups. We do not build them.

What our systems bring to your obligations

Classification before code.

Every workflow is mapped to its regulatory tier during the diagnostic, so you know the obligations before anything is built.

Documentation as a by-product.

Architecture decisions, data provenance, and system behavior are documented alongside the build, because versioned, documented systems are our engineering standard.

Human oversight by design.

Approval gates, exception paths, and durable human decisions are how the systems work, which is precisely the oversight regulators expect.

Evidence and audit state.

Outputs trace to source documents; workflow runs and agent queries are logged.

Data governance.

Role-scoped access, explicit data boundaries, and EU residency options through our European infrastructure standard.

Monitoring in operation.

Evaluation runs, drift control, and incident response are part of Managed AI Operations, not an add-on.

What we will not claim

No architecture makes you compliant by itself. Compliance depends on your use case, your jurisdiction, and how the system is operated. What we commit to: honest tier classification, controls proportionate to consequence, the documentation and evidence your advisers and auditors need, and a system whose behavior can be inspected rather than asserted.

Bring one critical workflow

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