Many people associate the EU AI Act with lawyers, compliance and additional work. It also contains a practical message for companies using AI in workflows: explain what the system does, which data it uses, where people intervene and how decisions remain traceable.
This matters in logistics. An AI system reading a transport permit, marking conditions or preparing questions needs to show:
- Which passage in the document matters?
- Which information was extracted?
- What is certain?
- What is uncertain?
- Where is a human decision needed?
Misunderstanding a transport condition can have operational, legal and financial consequences.
We need to determine which work AI may prepare and how people can check that preparation.
AI know-how for logistics professionals in 2 minutes
What is human-in-the-loop?
Human-in-the-loop means a person remains involved and responsible at a defined point in the process. They do not have to perform every task themselves:
- AI prepares the work.
- AI flags uncertainties.
- AI makes suggestions.
- A person decides.
For many logistics processes, improving preparatory work this way is a realistic starting point. It reduces the clarification burden while keeping responsibility visible.