Knowledge that stays, even when the expert leaves

The installation sector is ageing. Experienced workers are retiring while the pipeline of new staff falls short. Practical knowledge — troubleshooting, the right work sequence, exceptions that don't appear in any schematic — disappears with them. Pressure on the remaining workforce grows. New colleagues must rely more often on senior workers, causing disruptions, uncertainty, mistakes and repeat visits. That raises job stress and the risk of physical and mental overload.

At Van Haagen Techniek, this challenge is concrete. The electrical installations for THEBOXSYSTEM modules — modular units built for temporary school locations — depend on the knowledge of a single site supervisor. He knows which cable route works in combination with a partition wall to be added later, why an educational building requires a different fire alarm configuration than a residential unit, and how cables are cast into prefabricated floor elements. But he has documented nothing. When a new technician joins, they shadow him for a day. That is the full knowledge handover.

Traditional documentation doesn't solve this. Manuals, wikis and forms fail because technicians have no time to type and there is no computer within reach on the shop floor. Capturing work feels like extra work, so it simply doesn't happen. As demand for installations grows and volume increases, the vulnerability grows with it.

Taggl approaches this differently. Technicians speak what they see or decide, right while working. Context-aware AI filters background noise, understands trade terminology, and converts spoken input into structured work instructions and a searchable knowledge base. Output is delivered in the preferred language — Dutch, English, or the worker's own language. Capturing knowledge becomes part of the work itself, not a separate administrative step.