AI Knowledge Retention

The challenge

• Faults are only recorded in the maintenance system after the shift, while the actual fix meanwhile exists solely in the technician's head.
• When someone leaves, falls ill or retires, that accumulated machine-by-machine experience is lost immediately, with nothing searchable left behind.
• Noting down and retyping symptom, diagnosis and solution by hand costs time that should be going into the engineering.

The solution

• A press-and-speak solution: technicians dictate what they did during or just after the repair, with no app, form or typing.
• AI structures that speech automatically into symptom, diagnosis and solution, and turns it into a maintenance job.
• At the same time a searchable knowledge base grows per machine, which stays with the whole team even when people leave or fall ill.

What it delivered