The 10 best AI governance consultancies in the Netherlands
Ten consultancies that help organisations use AI responsibly, compared on four characteristics you can check for each one. For each consultancy, we also describe the situation in which it is a good fit.
Compiled by Data Science Lab, which ranks itself number 1. The rest are ranked by the number of their own services covering four situations. Information checked on 29 October 2026.
Data Science Lab started in 2016 and is based in Amsterdam. It maps AI applications, assesses the controls needed for each one, defines roles and frameworks, and builds and monitors models itself. Its website features case studies for clients including LUMC and Rijkswaterstaat.
Client case study · Rijkswaterstaat
Oversight of AI models in production
Rijkswaterstaat has several AI models in production. DSL developed a general-purpose monitoring package that checks these models for data and prediction drift and outliers, maintaining quality without manual checks.
DataNorth AI was founded in 2022 and has offices in Groningen and Amsterdam. It offers separate assessments for the AI Act, ethics and bias, security and shadow AI, and AI suppliers, as well as ongoing AI compliance services. Its case studies include the Municipality of Groningen and Scania Nederland.
Cuccibu works from Eindhoven and Rijswijk on privacy and information security, providing advice, interim specialists and training. Its AI services include AI Governance, covering AI policy, AI risks, the AI Act and roles, and an AI Risk Scan for privacy and security risks. One client case study concerns Pleyade.
Based in Utrecht, ilionx works in areas including digital strategy, cloud, data & AI and managed services. Its AI services include AI Governance, Risk & Compliance, with a step-by-step approach to risk management under the AI Act, and AI security. One client case study concerns Fieldlab Zuid6.
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EY has offices across the Netherlands, including Amsterdam, The Hague and Eindhoven. Its Responsible AI page covers governance, trust and innovation, while its EU AI Act Maturity Assessment shows where an organisation stands. A case study describes FrieslandCampina’s data platform.
Utrecht-based T&T Data Consultancy helps with data strategy, a data foundation, insights and AI applications. Its AI Ethics page offers an AI Act assessment, guidance on ethical principles and a scan of existing systems for bias and explainability. One project concerns a validation framework for language models.
ITDS was founded in 1998 and works from Amsterdam for banks, insurers and pension administrators. Its Data & AI governance page describes support with policies, roles, meeting structures and processes, such as AI governance boards and accessible guidelines. Its website features projects for clients including KLM and Aegon.
Levi9 was founded in Amsterdam in 2005 and has delivery centres in countries including Serbia, Romania and Ukraine. On its page about reliable and responsible AI, it describes testing AI applications for risks, bias and drift and monitoring them in production. One case study concerns FRISS.
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Valcon has a Dutch office in Utrecht and offices in countries including Denmark, Sweden and Germany. Its Responsible AI service establishes governance, maps risks and embeds responsible AI in the organisation. One case study describes the data migration during the merger of ING Bank and Postbank.
Xebia started in the Netherlands in 2001 and has grown into an international consultancy, software engineering and training company, with its Dutch office in Hilversum. It has separate pages for AI Governance and Responsible and Trustworthy AI, covering principles, a governance framework and benchmarking.
Which consultancy suits your situation?
Choose the issue you’re facing and see which consultancies have a dedicated service page for it, with a link to that page.
The same fields for every consultancy. Choose a situation to see which consultancies have a dedicated service for it, or tick the ones you want to see side by side.
Map the risks of your AI: no dedicated serviceKnow where you stand: no dedicated serviceAssess ethics and bias: no dedicated serviceUse AI safely: no dedicated service–
AI governance and model oversight
you want one partner to define AI policies and build, monitor and adjust the models.
Responsible AI in clinical practice at LUMC
Projects, staff augmentation, interim roles, management, training and workshops
Map the risks of your AI: dedicated serviceKnow where you stand: dedicated serviceAssess ethics and bias: dedicated serviceUse AI safely: dedicated serviceRisks · Baseline assessment · Ethics · Safety
AI assessments and compliance monitoring
you want a clearly scoped assessment for a specific question, from bias and shadow AI to an AI supplier.
AI vision with core values and principles for the Municipality of Groningen
Map the risks of your AI: dedicated serviceKnow where you stand: dedicated serviceAssess ethics and bias: no dedicated serviceUse AI safely: dedicated serviceRisks · Baseline assessment · Safety
Privacy, information security and AI governance
you want to address AI risks alongside privacy and information security, with a consultancy that also provides interim specialists.
From a GDPR scan to a privacy policy at elderly care provider Pleyade
Map the risks of your AI: dedicated serviceKnow where you stand: no dedicated serviceAssess ethics and bias: no dedicated serviceUse AI safely: dedicated serviceRisks · Safety
AI risk management, security and compliance
you want to manage AI risks alongside information security and see which AI tools employees use.
Secure AI environment for regional emergency services with Fieldlab Zuid6
Map the risks of your AI: no dedicated serviceKnow where you stand: dedicated serviceAssess ethics and bias: no dedicated serviceUse AI safely: no dedicated serviceBaseline assessment
Responsible AI and regulation
you want an AI Act maturity assessment from a large consultancy with its own regulatory specialists.
Data platform as a foundation for AI at FrieslandCampina
Map the risks of your AI: no dedicated serviceKnow where you stand: no dedicated serviceAssess ethics and bias: dedicated serviceUse AI safely: no dedicated serviceEthics
AI ethics and responsible AI
you want an existing model independently tested for bias and explainability.
Validation framework for responsible use of language models in the public sector
Map the risks of your AI: no dedicated serviceKnow where you stand: no dedicated serviceAssess ethics and bias: no dedicated serviceUse AI safely: no dedicated service–
Data and AI governance
you work in financial services and want data and AI governance covering roles, meetings and guidelines.
Map the risks of your AI: no dedicated serviceKnow where you stand: no dedicated serviceAssess ethics and bias: no dedicated serviceUse AI safely: no dedicated service–
Reliable AI through testing
you want AI applications tested for performance, bias and drift during development and in production.
Image recognition to combat insurance fraud for FRISS
Map the risks of your AI: no dedicated serviceKnow where you stand: no dedicated serviceAssess ethics and bias: no dedicated serviceUse AI safely: no dedicated service–
Responsible AI and AI governance
you want to embed AI governance in a broader transformation of processes, data and your organisation.
Data migration during the merger of ING Bank and Postbank
Map the risks of your AI: no dedicated serviceKnow where you stand: no dedicated serviceAssess ethics and bias: no dedicated serviceUse AI safely: no dedicated service–
AI governance and trustworthy AI
you want a governance framework aligned with your cloud, data and training, from one large provider.
Data strategy addressing ethical data use at RTS
Projects, management and training
Hilversum
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Compiled by
Data Science Lab. We put ourselves at number 1; that is the only position that does not follow from the rules below.
Reference date
29 October 2026. All information comes from the consultancies’ websites as they appeared on that date.
Candidates
The 96 Dutch data and AI consultancies that Data Science Lab tracks.
Inclusion criteria
The consultancy has an address in the Netherlands, offers AI governance, Responsible AI or AI Act compliance as a separate service (advice, implementation, testing or assessment) on its own website, and names at least one client or project there; a logo does not count. This applied to 14 of the 96.
Ranking
As the compiler, Data Science Lab is ranked number 1 and presents its own offering first. The remaining consultancies are ranked by the number of their own service pages covering the four situations in the selection guide; ties are settled alphabetically.
Selection guide
Only a dedicated service page counts, including for Data Science Lab; a mention, case study or tile does not. Risks: a service for assessing or managing the risks of AI or AI suppliers, with ‘risk’ in the title or heading. Baseline assessment: an assessment, scan or maturity assessment concerning AI regulations, governance, ethics or risks. Ethics: a service covering AI ethics, bias or fairness. Security: a service covering AI security or shadow AI.
Situations
We started with AI risks, ethics and bias, AI policy and an AI register. ‘Drafting an AI policy’ was dropped because too few consultancies matched it: 1 of the 14. ‘Maintaining an AI or algorithm register’ was dropped for the same reason: 1 of the 14. ‘Knowing where you stand’ (3 of the 14) and ‘Using AI safely’ (3 of the 14) replaced them. Ties were settled by AI governance (7 of the 14), Responsible AI (9 of the 14) and the AI Act (6 of the 14), in that order, then alphabetically. Whether Data Science Lab had a page for a situation played no part in that choice.
Considered
We reviewed large consulting and accountancy firms; if we could not find an address, a named client or a dedicated AI governance page on their websites, they were not included. Consultancies offering only articles, guides, tools or training, pages belonging to another company in the same group, and software vendors are not included in this list. Legal advice is outside the scope of this comparison.
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Frequently asked questions
An AI governance consultancy helps you identify which AI systems your organisation uses, the risks each application poses, who is responsible for it, and what policies and controls are needed. Good consultancies make those policies workable for the teams that build, procure or use AI, and agree with you how to keep them up to date as applications and regulations change.
Data Science Lab compiled this list and presents its own services first. We compare the other consultancies based on their service pages for the four situations. Look at their specialisms and examples of their work to decide which consultancy suits your project.
Start with your situation: do you want to understand the risks of your AI, assess where you stand, test a model for bias, or make AI use safer? The selection guide shows which consultancies offer a dedicated service for each need. The examples of work listed for each consultancy link to real case studies.
Data governance concerns the data itself: quality, ownership and definitions. AI governance concerns the models and applications that use that data: what they are allowed to do, the risks they pose and who oversees them. If you are looking for a partner to help with your data, see the best data governance consultancies.
This list compares consultancies on their AI governance services, not on legal advice. Discuss what the AI Act means legally for your application with your lawyer or compliance department. Data Science Lab helps you identify AI systems, classify risks and establish governance; read more about the AI Act in practice.
We map which AI systems your organisation uses, assess the controls needed for each application and define roles and frameworks that fit how you already make decisions. Because we build and monitor models ourselves, the policies reflect how things work in practice. Read more about AI governance at Data Science Lab.
