Why wait?
Building regulations are complex; our AI makes them clear.
Automate
Spartner links plot numbers to all relevant zoning plans, eliminating manual detective work so teams and architects alike can devote their time to design.
Integrate
The AI Building Permit Assistant communicates directly with PDOK databases, the Omgevingsloket and municipal back-office systems, so data never have to be entered twice.
Validate
During the conversation the chatbot checks every structure against the Building Decree 2012, local regulations and recent BOPA policy amendments, and suggests any missing attachments.
Collaborate
Initiator, advisor and municipality share one live dossier; everyone can see in real time which documents are still missing and which rules have been ticked off.
What it solves
In recent years the average permit procedure has stretched to 13.4 weeks. We see in practice that as much as 40% of that is idle time caused by missing documents or misinterpreted regulations.
How it works
The assistant asks targeted questions, checks plot data with the Cadastre, receives instant feedback from the Omgevingsloket and highlights conflicts in plain language.
What we notice
Many applicants do not realise that a dormer window may be permit-free in one municipality while the identical dormer two streets away—just across a zoning boundary—requires a mandatory notification. Our AI does see that.
Less email back-and-forth, more building
Fewer fines due to incorrect notifications
More insight for investors before purchase
Less pressure on the municipal desk, fewer phone calls
How do you navigate this process?.
A step-by-step approach that takes you from guesswork to a complete permit.
Step 1 – Inventory.
The initiator enters an address or plot number, uploads a sketch and describes the plan in their own words. The AI Building Permit Assistant interprets this using NLP, recognises functions (e.g. "rear extension 2.5 m") and automatically checks the applicable zoning plan.
Step 2 – Dialogue & data fusion.
While the chatbot asks follow-up questions, it retrieves live data from PDOK, BAG, BGT and municipal regulations. Any Natura 2000 restrictions or aesthetic guidelines are incorporated immediately.
Step 3 – Rule check.
All case law and Building Decree articles are scanned. The tool compares dimensions, eaves height and cooling installations with the standards. Borderline cases are marked in yellow; hard rejections in red with explanation.
Step 4 – Optimise.
The user receives concrete alternatives: "Lower the ridge by 12 cm and the permit is likely to be granted immediately." In this way the AI moves from merely checking to actively thinking along—advice plus.
Step 5 – Submit.
With one click all completed fields are sent as a structured set to the Omgevingsloket and municipal case systems. Attachments are compressed and filenames automatically given the correct code.
Step 6 – Feedback loop.
After the decision we read back the ruling, train the model on new grounds for refusal and share anonymised insights with the municipality so future applications run even more smoothly.
Ready to cut the queues?
Have a chat with our team and discover how your organisation can be live with the AI Building Permit Assistant within four weeks. No strings attached—just a fresh coffee and a demo on your own project location.
A critical look at traditional workflows
For decades, municipalities and consultancies relied on static templates. Minutes, Excel columns and PDF checklists still drift across every server. The outcome is predictable: regulations change, versions go missing and nobody is sure whether the latest paragraph of the Building Decree has been processed. This leads to double entry, conflicting advice and unnecessary objections. The Spartner platform puts an end to this fragmented landscape by offering one single source of truth filled with continuously updated laws and regulations.
Local dynamics are the bottleneck
Legislation changes nationwide, but municipal policy rules often move even faster. A temporary aesthetic guideline or a pilot with tiny houses can turn policy upside down within a month. Our AI model monitors RSS feeds, council decisions and VNG publications so you never work with outdated information.
Municipalities already on board
The municipalities of Beverwijk, Apeldoorn and a joint environmental service in the Achterhoek already use the AI Building Permit Assistant in their daily assessments. In Beverwijk the average processing time for a standard plan has been reduced to eight weeks. Apeldoorn reports 23% fewer incomplete dossiers. The environmental service mainly benefits from the uniform motivation of refusals, which shortens objection procedures.
Learn together, improve together
By sharing feedback anonymously we create a collective learning environment. The AI sees, for example, that noise requirements near industrial estates are often misinterpreted. The model adapts the dialogue accordingly so future applications are clarified straight away.
A philosophical note: AI as the new urban planner
Cities have long been shaped by human intuition, political choices and—let’s be honest—financial interests. Now that an AI Building Permit Assistant is providing suggestions, a new player joins the table without emotion but with an ocean of data. Does this spell the end of spontaneous architecture, or does it actually create room for creativity because the parameters are clear? One could argue that the computer becomes the rational guardian while humans focus on aesthetics.
Ethics in code
What if the AI unintentionally harbours a bias against certain housing typologies? Transparency is therefore not optional but essential. At Spartner we publish the datasets used and log every decision so any advisor can zoom in on the basis of a refusal.
What makes the AI Building Permit Assistant different from the standard Permit Check? 🤔
The standard check in the Omgevingsloket works with static decision trees. Our assistant holds a dynamic conversation, recognises semantics in drawings and reads local policy rules, delivering tailored advice.
Is the tool legally binding? 📜
No, the final decision always rests with the competent authority. The assistant does help you interpret and substantiate all relevant articles correctly, increasing the chance of a positive ruling.
What about the privacy of drawings and personal data? 🔐
All data are processed within Dutch data centres. Personal data are stored separately; plans are anonymised after a decision so we can learn without tracing them back.
Can the municipality add or amend rules itself? 🏛️
Certainly. Policy officers have a visual editor to enter new articles or policy rules. The AI indexes them virtually in real time.
Does it work for listed buildings as well? 🏰
Yes. The platform fetches status information from the National Monuments Register and local heritage regulations. Expect stricter checks and extra questions about materials and appearance.
How much does it cost? 💸
We do not publish prices here. We can say that the hours saved and the reduction in failure costs usually more than offset the licence fee.
Which languages does the chatbot support? 🌐
Currently Dutch and English. German is on the roadmap because border regions increasingly request it.
Do I still have to call the desk as an architect? 📞
Usually not. We find that a dossier filled in properly via the AI is almost always complete at once. Yet personal contact remains possible and sometimes desirable.
How often is the legal database updated? 🔄
Daily. New council decisions are indexed within 24 hours so temporary policy changes are visible too.
Is it complicated to get started? 🚀
Not at all. Request an API key, connect to your case system, set roles and you are live. We guide the first pilot so you do not lose your way.