AI in enforcement and inspection: faster reports, prioritisation with care

By · Updated · 3 min read

Short answer

Enforcement and inspection produce a lot of text: inspection reports, warning letters, orders subject to a penalty and records of visits. AI can prepare those texts from structured input and make policy rules and earlier decisions findable. Choosing who gets inspected is different: profiling people or addresses touches fundamental rights, and as soon as criminal offences are in view, the AI Act’s high-risk regime may apply.

Where the work is

An inspector spends much of the day on records: what was found, where, when, under which provision, and what happens next. Then comes the legal route: a warning, a notice of intent, an order subject to a penalty or an administrative fine, each with its own reasoning and deadlines.

Capacity is limited, so every authority chooses where to look. That is the second place AI turns up, and the most sensitive one.

What AI does well

TaskWhat AI doesWhat the inspector does
Inspection reportA clean text from a completed form and photosChecks it and signs
ProvisionsFinds the applicable rule in by-laws, plan or permitJudges whether it applies
Letters and decisionsDrafts of warning, notice or order, with the right deadlinesGives reasons and decides
FileSummarises earlier visits and decisions at the same addressWeighs the history
Reports from residentsClassifies and bundles themDecides on follow-up

See also AI in permit decisions for the same line between preparing and deciding.

Prioritising: where the line is

  • Risk-based inspection of objects, such as buildings with a higher fire risk or venues with earlier violations, is common and defensible, provided the criteria are public and explainable.
  • Profiling people or households is another matter. The SyRI ruling and the Rotterdam welfare model show where that ends. See Testing algorithms for discrimination and AI in social services.
  • The AI Act lists AI for law enforcement in Annex III as high-risk, including assessing the risk that someone commits an offence. Municipal enforcement aimed at criminal offences may fall under it. A text assistant for reports does not.
  • Neighbourhoods are not evidence. A model that learns from earlier inspections sends inspectors to the areas already inspected most. Measure outcomes per area and correct.

How to set it up

  1. Start with records and letters: high volume, measurable time savings, no profiling.
  2. Have AI retrieve provisions and earlier decisions with source references, never from the model’s memory.
  3. Keep prioritisation at object level, with public criteria, and record any model in an algorithm register.
  4. Photos and reports contain personal and sometimes criminal data: process them in your own environment.

With werqly this runs on a dedicated node of the authority. Enforcement gets its own role with its own sources in werqly AI Control, and the audit log shows which provision and which earlier decision were used for which report. See AI for local government.

Frequently asked questions

Questions on this topic

May AI decide who gets inspected?

Risk-based inspection of objects, with public and explainable criteria, is common. Profiling people or households touches fundamental rights and is legally vulnerable; once criminal offences are involved, the AI Act’s high-risk regime may apply.

Can AI write an inspection report?

AI can turn a completed form and photos into a clean text and find the applicable provision. The inspector checks the content and signs, because the report underpins a decision that has to survive in court.

Does municipal enforcement count as “law enforcement” in the AI Act?

Annex III covers AI used by or on behalf of law enforcement authorities, including to assess the risk of offences. Municipal enforcement often concerns criminal offences, so such applications may fall under it. A text assistant for reports does not.

May inspection photos go into an AI tool?

Photos often show people, number plates or interiors, and reports sometimes hold criminal data. Process them in an environment that belongs to the authority alone, with limited retention and access per role.

Sources

  1. Dutch General Administrative Law Act, Chapter 5 (enforcement)
  2. AI Act — Regulation (EU) 2024/1689, Annex III (law enforcement)

This article is general information, not legal advice. Rules and guidance change; check the sources listed or ask your lawyer or DPO if in doubt.

About the author

Tim Hoogstrate

Founder of werqly

Tim Hoogstrate is a software developer and the founder of werqly. He writes the articles in the knowledge base: what the GDPR, the AI Act and sector rules require when you use AI, and how to arrange that in an environment of your own.

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