Have AI find the causes of outages in log files

IT analyses log files to find the cause of outages faster

Needs setupAI Act: no extra obligationsAnalysing & reporting dataAll industries

Fits: IT & software development

When something fails, you see faster what went wrong first and which messages are only knock-on errors. The timeline for the incident report comes as a by-product.

Is this for you?

  • Your servers, applications or network devices write log files with timestamps, and today you search through them by hand when something fails.
  • You have or are planning a central log collection where you can search across several systems.
First step today

Take a short log extract from a past outage that has already been resolved, replace IP addresses, user names, computer names and keys with placeholders, and use the template below to have a timeline and the likely cause created. Compare it with what you actually found at the time.

How to go about it

  1. Narrow down the outage and time window precisely
  2. Collect and redact log extracts from all systems involved
  3. Have a timeline and cause hypotheses created
  4. Check the hypothesis against the raw data and in the system
  5. Write the incident report for the team and the business unit
  6. Carry findings over into monitoring and search queries

Templates to copy

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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

28 more use cases follow the pattern “Analysing & reporting data”.

A-083 · Legal status 08.10.2026