Generative AI can create drafts and other content. Whether it can be used effectively in your day-to-day work depends on the specific task and the conditions. This overview helps you choose the next step to check, rather than viewing AI as either a blanket benefit or a burden.
Your goal for this guide
You can identify whether the task, approval, review of the result, or actual benefit needs to be clarified first.
Understand: Put the work question in the right context
The BSI describes generative AI models as models trained on large amounts of data that can create new content from learned patterns. Examples include applications for text and images. This does not mean they are suitable for every business purpose.
Alongside the opportunities, the BSI overview page highlights IT security risks and refers to a systematic risk analysis. A short personal checklist is no substitute for this. Workplace responsibilities and approval remain part of the scope of use.
A practical example: Three similar-sounding text tasks
Drafting a fictional agenda, preparing an approved public text for an exercise, and providing a binding answer based on internal documents may initially sound like text-based tasks. However, the required inputs, reviews, and potential consequences differ considerably.
For an initial trial, choose a limited task using approved, non-sensitive source material. For internal documents or decisions with binding consequences, the responsible teams must clarify the scope. The fact that the texts are similar does not mean they share the same approval.
Decide: Which question remains open?
The task is not yet clearly defined
Define the purpose, permitted source material, and output format. The guide to using AI thoughtfully includes a short briefing template.
The generation is straightforward, but the process is expanding
Define how the result will be reviewed and used, and where to stop. The guide on complexity covers these exact transitions.
It’s unclear whether AI is useful at all
Compare a limited, approved trial with the current process. Consider both quality and the total effort involved.
Clarify whether to use AI before choosing a tool
Describe a single task. Check whether the scope of use and the inputs are approved, and whether the result can be reviewed appropriately. If anything is missing, clarify it with the responsible people first.
Then choose the right in-depth guide. Don’t apply a successful trial to other data, audiences, or follow-up actions without checking first. An informal practice draft is not general permission for an automated workflow.
Your AI roadmap
Task: What limited support is needed?
Scope: Are the tool, inputs, and use approved?
Review: Can the result be reviewed appropriately?
Benefit: Is the total effort reasonable for a usable result?
Next: Review the agreement in practice
The next step doesn't have to be a new AI application. It could also be asking an expert, trying a small-scale example, or deciding not to use it. Assess the specific workflow rather than the general technology trend.
Limitations and support
This article offers general work-related guidance, not a comprehensive risk analysis or operational approval. Use only tools and inputs approved for this purpose. Keep access credentials and confidential information that has not been approved out of the input. Review, adoption, and any subsequent actions each require clear responsibility. If prerequisites are unclear, stop using the tool for now and clarify them with the responsible parties.
Frequently asked questions
Is every recurring task automatically suitable for AI?
No. Repetition alone says nothing about inputs, consequences, or appropriate review.
Does this overview replace an operational risk assessment?
No. It is a guide to work-related questions, not a comprehensive security or usage approval.
Can I apply a successful test to other tasks?
Not without checking. Different underlying factors or consequences may require a different framework and different checks.
Expert source and assessment
BSI: Artificial intelligence – Generative AI section →
accessed on October 16, 2026. German-language source.
The BSI overview page describes generative models and their opportunities and IT security risks. The AI map is a practical assessment in its own right, not a certified approval process.
The practical example and template are practical assessments in their own right, not a scientifically validated program.
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Choose a specific open work question and clarify it with the relevant people. Find more articles on structure, focus, and mindful digital work in the FitStart Work Guide.
