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AI consultant in The Hague

For ministries, government agencies and municipalities: first establish which decision an algorithm affects and who makes it, then build it through to production. We also built Dex for PostNL.

With Dex, PostNL gained a central place for employees’ questions

For PostNL, whose head office is on Waldorpstraat in The Hague, we developed Dex, a self-learning chatbot connected to existing systems so the knowledge base does not need to be stored and maintained in multiple places.

Read the case study

Do our case handlers still make their own decisions, or do they simply sign off on the recommendation?

A model ranks applications, and the algorithm register says a staff member makes the decision. But no one can see how often case handlers depart from the recommendation. We design that human oversight into the process: an explanation for each recommendation, logging of both the recommendation and the decision, and a designated owner.

Arrange a meeting
Het Binnenhof aan de Hofvijver in Den Haag, met kantoortorens erachter

A dossier for each algorithm that the register, IAMA and legal counsel can use

Discuss your algorithm

An overview of all algorithms

From risk-based selection to a traffic light programme: for each algorithm, its purpose, the data it uses, who owns it and the decision it informs.

A register entry for residents

A description for the Algoritmeregister: what the algorithm does, which data it uses, how a staff member intervenes and where people can go with questions.

Groundwork for IAMA and FRIA

For each system, the facts you also need for IAMA and the fundamental rights assessment: its purpose, the people affected and the data used.

Every change traceable

For Zorginstituut Nederland, we built a validation and publication pipeline in GitLab to enable controlled releases of products from the KIK-V programme.

The decision about a resident shapes how we build

  1. Define the decision and roles

    Which decision the algorithm supports, who makes it, and whether your organisation is the provider, the deployer or both.

  2. Build in explanations and logging

    A recommendation comes with an explanation for the caseworker and is logged alongside the decision.

  3. Register and monitor

    A description in the register, monitoring after launch and a review whenever the purpose, data or regulations change.

Would this be worthwhile for your ministry, agency or municipality?

Explore it in a conversation

A good fit if

Algorithms are in use or planned that influence decisions about residents or businesses, but you cannot yet answer the council, parliament or auditor when they ask exactly which algorithms are running.

Not a good fit if

It concerns a fixed calculation rule set out in law, such as calculating an administrative fee, that anyone can verify. In that case, a clear description in the register is more useful than an AI project.

What determines the scope

The number of algorithms and suppliers, whether decisions about individuals depend on them, how much documentation already exists, and whether we will also build and manage the systems. You provide a designated owner and access to contracts.

Who decides the risk classification

Your legal counsel or compliance department does; we do not provide legal advice. For each system, we provide the facts: what it is for, what data it uses, which residents it affects and who uses its output.

Buy an AI application, have one built or develop it yourself?

Buy

Choose this if an existing product meets the needs of your process. Specify in the tender that the supplier must provide documentation, logging and scope for an audit.

Have it built

Choose this if the algorithm plays a part in decisions affecting residents. Our advice: specify in the contract which code, data and model documentation you will receive, so you can explain every recommendation.

Develop it yourself

Choose this if your data team can monitor and revise the model after it goes live. If you temporarily lack capacity, we can provide an MLOps engineer or data scientist on secondment.

Consultancy and development from one partner, with management after go-live

Data Science Lab has worked with data and AI since 2016. As a Databricks Partner and Microsoft Partner, we work with clients including PostNL and Zorginstituut Nederland. We can meet at your office, at ours in Amsterdam or online.

Book an introductory meeting

Bring one algorithm to the first meeting

Stef Stoelwinder

Stef Stoelwinder

Business Development

Stef is your first point of contact. In our first conversation, we’ll discuss one algorithm or AI idea: which decision it affects, who uses the outcome and what’s already recorded in the register and DPIA.

Which algorithm should we focus on first?

Describe the algorithm or idea and the decision that depends on it. We’ll reply by email or arrange an initial conversation.

Enter a valid email address.

Let us know how we can help you.

Frequently asked questions

The register focuses on algorithms with a significant impact, including high-risk AI systems. At a minimum, this includes algorithms that contribute to decisions about someone’s rights, such as a fine or a grant. Publication is not yet a legal requirement. The government announced plans to make it mandatory in 2022, but the law has not yet been passed.

The municipality of Den Haag, which uses an algorithm to predict how busy polling stations will be, lists algorithms that affect residents’ daily lives and adds descriptions twice a year. You can establish who keeps the register up to date through AI governance.

No. The European database under the AI Act lists high-risk systems, and a public authority using one of these systems records its own use there. From 2 December 2027, Article 26 provides that if a high-risk system is not listed, a public authority must not use it and must notify the provider. Separate rules apply to critical infrastructure.

According to its administrators, the Dutch register will continue to exist because it also includes simpler, lower-risk algorithms.

Annex III includes systems that public authorities use to assess whether someone is entitled to essential benefits or public services. Under the digital omnibus, the rules for these high-risk systems will not apply until 2 December 2027. Before using certain high-risk systems, a public authority must then carry out a fundamental rights impact assessment (FRIA).

The IAMA, published by BZK, was aligned with the FRIA in February 2026. Your legal adviser will determine which obligation applies to your system. We set out all the effective dates in AI Act in practice.

An employee who follows every recommendation is not really making a decision. In its guidance, the Autoriteit Persoonsgegevens identifies four factors: people, technology and design, process, and governance. That means allowing time to assess a case, providing an explanation for each recommendation and giving employees the authority to depart from it.

The municipality of Den Haag requires an employee to make the final decision whenever an algorithm involves personal data and has legal consequences. You can have the application record when caseworkers depart from a recommendation, so you can demonstrate this too. We include that in the design. It is how we put Responsible AI into practice.

Leaving out protected characteristics is not enough: a model can still discriminate through a proxy, such as a postcode. Compare how often the model selects someone in each group and how often that selection proves justified, and check whether the data is representative. To do this, you need information such as a person’s background, which you may process only to a limited extent under the GDPR.

BZK’s Algorithm Framework refers to the risk profiling assessment framework of the College voor de Rechten van de Mens. The Autoriteit Persoonsgegevens, based in Den Haag, wants its new AI supervision directorate to ensure that such tools are tested for discrimination and accuracy.

Start with the sources: a chatbot is only as good as the knowledge it can access. At PostNL, Dex answers employees’ questions so the service desk can focus on more complex issues. Since 2 August 2026, the transparency rules under the AI Act have applied: people speaking to a chatbot must be told that they are doing so no later than the start of the conversation.

Since April 2025, public authorities have had a government-wide position on the use of generative AI, along with guidance on responsible use.

The Algorithm Framework lists requirements in the specification and award criteria, agreements on data and artefacts, the right to an audit, and a data processing agreement if personal data is involved. Determine in advance whether the algorithm has a decisive influence on a decision about individuals.

Also specify in advance what logging and documentation you need to complete the register entry and the FRIA.

If the algorithm applies a fixed calculation rule set out in law or regulations that anyone can verify, good documentation and a register entry are enough. If your question concerns appeals, liability or the interpretation of a legal provision, it belongs with a legal adviser.

Municipalities still exploring where AI might be useful can start with a less involved AI workshop for municipalities.