AI GOVERNANCE · AI ACT · GDPR
Innoquo turns regulation and the real risk of each AI system into controls that work: what it may do, which data it can use, who authorises its actions and what evidence remains afterwards.
So your company can move forward with AI without operating blind.
REGULATORY BASELINE REVIEWED · 25.08.2026 · EU
Technical and operational support. Not certification or case-specific legal advice.
THE REAL RISK
Not every action carries the same impact. Consulting information, sending an email, creating an invoice or deleting an account require different permissions and controls.
That is why we define autonomy action by action: what the AI may do, within which limits, and when a person must intervene.
Innoquo Autonomy Scale
The same model can sit at different levels depending on the action — control is assigned per action, not per agent. Impact is classified separately.
AUTONOMY
IMPACT
A4 · Low impact
Act within limits
Executes bounded, reversible and supervised actions.
REGULATORY STATUS
From 2 August 2026, most of the AI Act already applies and authorities have begun supervising active obligations.
Use the official EU AI Act checker ↗ — currently available in English; informative orientation, not a definitive legal conclusion.
TRANSPARENCY ALREADY APPLIES
When a system is designed to interact directly with people, they must be clearly informed that they are interacting with AI, unless this is obvious from the context.
The Commission requires that the information appears from the start of the first interaction and in a clear, accessible form.
Certain providers must incorporate technical mechanisms that allow synthetic content to be detected.
People exposed to emotion-recognition or biometric categorisation systems must be informed when applicable.
Certain manipulated content and public-interest publications require clear disclosure, with specific exceptions and conditions.
Not every situation triggers the same obligation. It depends on the system, the content, the company's role and how it is used.
DECISION → CONTROL → EVIDENCE
If these answers do not exist — or live across documents, vendors and teams — the system is not truly governed yet.
Innoquo AI Readiness Review
We review the AI systems your organisation uses or is preparing and turn the current situation into five concrete deliverables.
Purpose, owner, users, data, providers, markets and status.
Each organisation's role, obligations that require analysis and internal owners responsible for addressing them.
Data, tools, permissions, approvals, limits and stop capability.
What exists, what is missing, what can be demonstrated and what needs validation.
Actions organised by risk, impact, owner and next decision.
FROM REVIEW TO PRODUCTION
Notices, labels and user experiences adapted to the system and channel.
Identity, permissions, authorised tools, approvals and operational limits.
Real cases, exceptions, isolation, security, reversibility and recovery.
Logs, metrics, alerts, incidents, changes and post-launch review.
We do not stop at identifying the gap. We can design, implement and operate the technical measure required.
Innoquo AI Regulatory Radar · 2026 Guide
A clear signal when a deadline shifts, a new obligation appears or an official guide changes what your company should prepare.
Guide sent
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