The situation

You keep a log for a CHP unit or a biogas plant. After months it fills many pages. When did it stop? Why?

How it works

You paste the entries.

The Schleuse replaces secrets

Names, addresses, identifiers and credentials are replaced with stand-in words. This happens on your side, not in the cloud. Amounts and dates stay as they are.

The AI answers, the Schleuse translates back

The answer contains the stand-in words. On your side they turn back into the real names.

Example

Your question to the AI

Summarise the faults of the last months. Are there patterns?

What is in your text

CHP unit 2 of Biogas Lindenberg GmbH stood still on 3 August from 02:10 to 05:40.
Error code 4711. The technician was Mr Kai Brandt.

What the cloud AI sees

CHP unit 2 of Operator Alpha stood still on 3 August from 02:10 to 05:40.
Error code 4711. The technician was Technician Alpha.

This example is made up.

What you get

You get an overview: when, how long, which faults.

Good to know

Technical terms such as CHP stay as they are. Clarify the causes with your service partner.

Zone of this use case: Yellow

Only through the Schleuse. And only to targets you have approved.

Status of the Schleuse

Version 0.1 Alpha. So far tested only with made-up examples. Not reviewed by third parties. No legal advice.

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Would you like to try this?

We are looking for pilot partners. We test the Schleuse with made-up or cleared examples first. Only then does real text go through.

Request a pilot Back to the Schleuse

This page is also available as Markdown for AI reading systems. /en/use-cases/analyze-an-operating-log.md