An AI draft sounds plausible. But whether it is useful for your task does not depend on how fluently it reads. Check the source material, any missing details, and the intended use before turning a suggestion into a binding statement.
Your goal for this article
You decide which parts of an output need to be checked and when it should not be used further.
Understand: Put the question in the right context
The BSI describes generative models as systems that can create new content from learned patterns and highlights IT security risks. The ability to generate text is not general evidence that an output is suitable for a specific work task.
An output needs a review suited to the task. If you cannot verify an important detail, convincing wording alone does not make it reliable. This article offers a practical review process, not a comprehensive risk analysis.
An example of your own: A fictional draft includes a new promise
You ask AI to turn fictional bullet points you created yourself into a practice text. The suggestion also includes a delivery date that does not appear in the source material. The sentence reads well, but it would introduce a new claim.
So compare the draft with the approved bullet points. Remove the unsupported promise or clarify it with the appropriate person before using a corresponding statement in practice. Generating another draft alone does not confirm the missing information.
Decide: Use it, clarify specific points, or stop?
The necessary statements have been checked and can be substantiated
Only adopt the appropriate version through the designated approval process. Review and possible sharing remain separate steps.
An important source is missing
Mark the point as unresolved and clarify it. Do not accept a convincing-sounding addition as a substitute.
The necessary expert review is not possible
Do not use the draft for the binding next step. Choose an appropriate expert review or another process.
Check the output against its purpose
Compare the purpose, permitted source material, and actual statements. Check whether anything has been omitted, added, or changed in meaning. Determine which points you can assess yourself and which require a qualified professional.
Record only the sufficiently verified information in the designated place. Keep access credentials and confidential information not approved for use out of the input. This template does not set up publication or automatic sharing.
Your results check
Source: Where did each statement important to the purpose come from?
Differences: What was added, omitted, or changed?
Review: Who can assess the open questions appropriately?
Outcome: Can the reviewed version be used for its intended purpose?
Next: Review the workflow in everyday practice
Not using a draft can be the right outcome of a review. Assess the specific case rather than counting the mere generation of text as completed work.
Limits and support
This article offers general work guidance, not a comprehensive risk analysis or workplace approval. Use only tools and inputs approved for the intended use. Do not enter login credentials or confidential information that has not been approved for use. Review, adoption, and any subsequent actions each have their own responsibilities. If the requirements are unclear, pause use and consult the responsible people.
Frequently asked questions
Is a well-written draft already checked?
No. Style and factual suitability are separate questions.
Does a second AI response automatically confirm the first?
Not for this template. Repeating a statement does not replace an appropriate source and review.
Do I need to check every AI output in the same way?
Requirements vary. Any use that requires approval should be checked in a way that reflects its potential consequences.
Sources and context
BSI: Artificial Intelligence - Generative AI section →
accessed October 16, 2026. German-language source.
The BSI overview page describes generative models and security risks. The results check and fictional example are our own work guidance, not an approval process tested by the BSI.
The practical example and template are our own practical guidance, not a scientifically validated program.
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Choose a specific, unresolved work question and clarify it with the right people. Find more articles on structure, focus, and mindful digital work in the FitStart Work advice section.
