Have AI analyse fault codes and find repair solutions

Workshops and tradespeople diagnose faults from fault codes and device data and get suitable repair instructions

Needs setupAI Act: no extra obligationsMaking knowledge available on requestAutomotive, Skilled trades

Fits: Field service & trades · Production, engineering & maintenance

For fault memory entries and error codes, you get an ordered list of possible causes with test steps and references in the repair documentation. Fewer parts are replaced on suspicion.

Is this for you?

  • You regularly read fault memories of vehicles or error codes of heating systems, heat pumps or appliances.
  • You have access to manufacturers’ repair information and your own job notes on solved cases.
  • With difficult faults, a lot currently depends on one or two experienced people.
First step today

Take a completed job with fault codes, without chassis number, number plate and customer data, and have it analysed with the template below. Compare the suggested causes with what it actually was.

How to go about it

  1. Define the repair sources
  2. Record workshop knowledge consistently and keep it up to date
  3. Connect the diagnostic aid with the diagnostic tester and documents
  4. Test with solved jobs
  5. Approve it in the workshop
  6. Analyse unsolved and wrongly solved cases

Templates to copy

Try it now
in the training
Analyse
in the training
Plan the rollout
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Included in the training

The complete guide

  • 6 steps explaining exactly what to do
  • 3 proven templates to copy into your own AI
  • Safe use: data, checking, deciding, informing
  • Pitfalls, effort and how to recognise success

With the training you get all 430 guides for as long as your access runs.

See the trainingOne-off per person, no subscription

Same approach, other use cases

4 more use cases follow the pattern “Making knowledge available on request”.

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‹ PreviousSee all use casesNext ›

AT-04 · Legal status 08.10.2026