EU AI Act & governance

EU AI Act compliance.In daily work, not in a binder.

The general application date of Regulation (EU) 2024/1689 was 2 August 2026. Prohibitions and the AI literacy duty have applied since 2025; the high-risk deadlines follow in December 2027 and August 2028. Pharen helps your team measure where you stand and keep the register, approvals and evidence where the work happens.

Light EU AI Act graphic with the Pharen symbol between a badge and a lock

Deadlines & status

The AI Act applies in stages. This is where it stands.

Since Feb 2025

Prohibitions & AI literacy: Practices such as social scoring are banned, and Article 4 requires adequate AI literacy from everyone who provides or deploys AI.

Since Aug 2025

GPAI models: Providers of general-purpose AI models carry their own obligations, and the EU governance structures have been in place since then.

Since Aug 2026

General application: Transparency duties apply: people must be able to tell when they interact with AI or see AI-generated content. Authorities supervise and enforce.

Dec 2027 / Aug 2028

High-risk systems: The Digital Omnibus postponed the deadlines: sensitive use areas by 2 December 2027, AI in regulated products by 2 August 2028.

Approach

How EU AI Act compliance becomes part of daily work.

Measure

Take stock: The free EU AI Act check asks ten questions about classification, controls and evidence and shows immediately where your AI use needs attention.

10 questions · about 4 minutes
Map

Build the AI register: Every AI system sits in one central register with owners, roles, data and affected processes instead of scattered lists.

One register, not many lists
Control

Anchor the controls: Human approvals, standard reviews and escalation paths run as workflows in Pharen Hub, inside the processes they concern.

Approvals & escalation
Prove

Keep the evidence: Decisions, documents, logs and recurring checks stay traceable, with history and named owners.

Auditable trail

Transparency

Disclosure: Article 50 requires that people can tell when they interact with AI or see AI-generated content.

Approved notices: Wording is reviewed once and then shown consistently everywhere, instead of being rewritten per channel.

Evidence of display: Records show when which notice was shown.

Human oversight

Named owners: A trained person needs the authority and the information to intervene, override or stop the system.

Approvals in the workflow: Critical actions pass through explicit approval steps instead of a quick shout across the room.

A click is not oversight: A nominal review without a real ability to intervene does not remove the risk.

Documentation

Documented classification: For every system there is a record of how and why it was classified, with purpose, role and affected groups.

Records at the use case: Vendor documents, contracts and decisions live with the system, not in inboxes.

Versions & templates: Reviews follow reusable templates, and changes stay visible in the history.

Monitoring & incidents

Defined signals: It is agreed which deviations count and at which intervals checks run.

Clear responsibility: Incidents go to named owners, with a traceable response path.

Checks as tasks: Recurring reviews run as scheduled tasks, not as good intentions.

AI literacy

A duty since February 2025: Article 4 requires adequate AI literacy from providers and deployers of AI systems.

Role-based: Training follows what a role actually does with AI, not a one-size course.

Demonstrable: Learning content, work instructions and completions are assigned to the specific use case.

Tools & sources

EU AI Act check: ten questions, instant result

Open

Guide: GDPR-compliant AI

Open

Security & self-hosting

Open

Official European Commission timeline

Open

Self-assessment

Measure first, then plan the work.

The EU AI Act check is based on Regulation (EU) 2024/1689 and the official European Commission FAQs. It does not replace legal advice, but it gives you an honest first reading: a readiness score, a classification signal and prioritised gaps.

Start the check

Your contact

Johannes Kanthak

We are Pharen, based in Leipzig. We build Pharen Hub, an AI workspace where AI agents work inside real team workflows. If you want to talk about registers, approvals and evidence for your AI use, write to us.

  • Pharen IT GmbH, Leipzig
  • Product, automation and customer rollouts
  • Tool-neutral: works with what you already have
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FAQ

Questions & answers