AI Governance: Beyond Compliance Alone
Compliance answers “do we meet the rules?”. Governance defines who decides which AI is used, how risks are managed, and how evidence persists across the lifecycle. Both belong together – especially under the EU AI Act.
Compliance vs. governance
Compliance focuses on concrete obligations (documentation, risk class, reporting). Governance describes steering: policies, roles, approvals, reviews, and audit readiness. Without governance, compliance stays fragile; without compliance, measurable evidence is missing.
The governance lifecycle
Each stage produces tamper-evident evidence – connected by a shared audit trail.
Building blocks of strong AI governance
Clear ownership for owners, IT, legal, and business units – so no AI runs “in the shadows”.
Classify, approve before production, and document changes in a traceable way.
Playbooks and tamper-evident logs – aligned with high-risk and limited-risk obligations.
How SimpleAct supports governance
SimpleAct brings inventory, risk classes, checklists, and exportable reports into one place. You can back governance decisions with defensible data – instead of juggling spreadsheets and email threads.
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What you’ll get
- Instant risk classificationAre you affected by the EU AI Act – and at which risk level?
- Steps tailored to your roleConcrete recommendations for Compliance, IT, Legal or Management.
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→ Create an AI inventory and document your high-risk systems.
Which systems count as high-risk (Annex III) →⚖️ This check is not legal advice. If in doubt we recommend legal review.
FAQ
What is AI governance?
AI governance is the set of policies, processes, and responsibilities that a company uses to direct, monitor, and make accountable its use of AI systems.
Why is AI governance required for EU AI Act compliance?
The EU AI Act requires operators to have a governance framework: clear roles, risk assessment, human oversight, and complete documentation. Missing governance is a direct fine risk.
How does AI governance differ from traditional IT governance?
IT governance covers IT systems in general. AI governance focuses on the specific risks of autonomous decisions, explainability, fairness, and regulatory evidence requirements under the EU AI Act.
Who is responsible for AI governance in a company?
Responsibility typically lies with management as operators, supported by legal, IT, and compliance. The EU AI Act requires these roles to be clearly documented.
Back governance with evidence
Start with an AI inventory and risk classification – the foundation for everything else.
Start for freePDF: AI governance checklist
Practical checkpoints for roles, approvals, and audit readiness.
Download PDFOpen-Source Framework
simpleact-ai-governance-framework
Open-source AI governance framework for the EU AI Act: roles, responsibilities, control structures, and operational governance paths.