AI inventory and ownership
Start with an inventory of AI systems, purposes, vendors, data, roles, owner and review rhythm. Without an inventory, governance becomes scattered decision-making.
AI governance and compliance
AI governance and compliance in the Netherlands
A practical roadmap for bringing the EU AI Act, GDPR, AI literacy, risk classification, DPIA, FRIA, vendor assurance and evidence into one working governance model.
Governance model
What belongs in an AI governance framework?
Most organisations do not need a thick manual as a first step. They need a working model that shows which AI systems exist, which risks matter, who decides and what evidence is available.
Risk classification
Determine whether each system is prohibited, high-risk, subject to transparency duties, GPAI-related or low risk. Article 6 and Annex III are central.
Policy, controls and decision-making
Define who may use AI, which review is needed, when legal, privacy and security join, and which controls must be demonstrable.
DPIA, FRIA and vendor evidence
Privacy impact, fundamental rights impact and vendor evidence should come together in one file. This becomes relevant quickly in HR, government, education, finance and essential services.
AI literacy and training records
Article 4 requires an appropriate level of AI literacy. Connect training to roles, systems, risks, completion logs, certificates and management reporting.
Monitoring, transparency and change control
Governance does not stop at deployment. Track logging, incidents, model changes, transparency duties and periodic reviews.
Roadmap
From scattered AI questions to demonstrable control
Use this route as content navigation through Praxikon. The order helps move from legal text to classification, evidence and execution.
1. Understand the obligations
Start with the legal structure, your role in the value chain and the deadlines coming toward your organisation.
2. Classify systems
Make visible which systems may be high-risk, which fall under Article 50 and where a GPAI relationship exists.
3. Build the evidence file
Use templates and tools to connect policy, inventory, risk analysis, DPIA/FRIA and training evidence.
4. Test readiness and priority
Determine where your organisation stands and which actions come first for leadership, compliance, privacy, HR, procurement and product teams.
Sectors
Where governance becomes concrete quickly
AI governance stays too abstract if you do not look at real processes. These sector routes help place risks, roles and evidence per context.
Practical next steps
From guidance to implementation and training evidence
If you want to take the next step, there are two routes. Praxikon carries out governance and implementation itself: you hire a lawyer, take external DPO and AI oversight or ask for a signed assessment. AI literacy for all staff runs through LearnWize.
Fixed price up front · within three working days of a 30-minute call · 1 to 4 weeks
Signed assessment
From analysis to a starting point, with my signature: for example an AI register with a classification per application, your role per system and a plan for the first 90 days.
Signed assessment: what you getCarried out by Zahed Ashkara, the lawyer behind this explanation.
Fixed monthly fee · matched to your organisation, agreed up front · 12 months, then cancellable per quarter
External DPO and AI oversight
An external DPO with a fixed point of contact, who also keeps your AI register, watches the oversight protocol under Article 26 and reviews new AI applications.
External DPO and AI oversight: what you getCarried out by Zahed Ashkara, the lawyer behind this explanation.
Rate by agreement · also through your agency or framework agreement · By agreement
Hire an AI and privacy legal adviser
Interim or per project. On request also sessions for boards, and half days for lawyers at a training institution recognised by the Dutch Bar (NOvA).
Hire an AI and privacy legal adviser: what you getCarried out by Zahed Ashkara, the lawyer behind this explanation.
LearnWize
AI Literacy Readiness Assessment
Use the assessment to reveal role gaps, Article 4 risk and training priority.
Start the assessmentLearnWize
Article 4 AI Act training
Role-specific AI literacy for teams that use, procure, build, review or control AI.
View trainingLearnWize
AI literacy evidence pack
For certificates, progress records, role matrix and management reporting around Article 4.
View evidence routeExpertise
Further reading around Zahed Ashkara and AI governance
This page is part of a broader knowledge network around the EU AI Act, governance, compliance, AI literacy and responsible AI use.
FAQ
Frequently asked questions about AI governance and compliance
Short answers for organisations that want to make AI governance practical.
What is AI governance and compliance?
AI governance and compliance combines policy, roles, risk classification, privacy, security, training, vendor assurance, monitoring and evidence so an organisation can use AI responsibly and demonstrably.
Where should AI governance start?
Start with an AI inventory and role mapping. Then classify systems under the EU AI Act, assess GDPR/DPIA/FRIA impact, set up policy and controls, and connect training to roles.
How does AI literacy relate to governance?
AI literacy is a governance control. People who use, procure, review or build AI need sufficient understanding of risk, limitations, human oversight, privacy and organisational policy.
Is an AI policy enough?
No. A policy helps, but supervisors and clients also look for inventory, ownership, risk assessment, DPIA/FRIA, training records, vendor evidence, monitoring and decisions.
When do you need external support?
External support is most useful when multiple teams use AI, vendors bring AI into processes, Annex III domains are involved, Article 4 evidence is missing or leadership needs priorities quickly.
Sources
Official sources and primary documents
This route links to official texts, Commission information and Dutch supervisory information where possible. Always check the current legal text and supervisory information for definitive qualification.