A single AI trial was useful. Before turning it into a recurring workflow, clarify who prepares the inputs, reviews the results, and carries on without AI if problems arise. Repetition alone does not make a process appropriate or safe.
Your goal for this article
You design a clearly scoped integration with human review and an available alternative.
Understand: Frame the question correctly
The BSI describes both potential applications of generative models and IT security risks, as well as the importance of a systematic approach. A successful practice case therefore does not constitute general approval for other data or follow-up actions.
An integration changes more than the moment of generation. Inputs, review, handoff, and ongoing responsibility are all part of it. The workflow outline described here does not replace any operational review or technical approval that may be required.
A practical example: Pre-sorting approved practice topics
A team wants to have self-created, non-sensitive practice topics pre-sorted. One person prepares the approved source material, and another reviews the full classification. Only the reviewed version is added to the practice plan.
If the tool is unavailable or the suggestion is insufficient, use the existing process for classification. The scope for actual internal documents must be clarified separately. This small practice workflow does not justify broader data use or an automatic follow-up action.
Decide: Is the step ready for recurring use?
The task, approval, and review are clear
Initially limit the scope and the people involved. Decide who will reassess the workflow if anything changes.
No one is clearly accountable for the review
Clarify responsibilities before use. A visible output is not proof that the review is complete.
The step fails or produces no usable result
Use the agreed alternative. A functioning workflow must not depend on untested workarounds.
Describe a handoff with clear roles
For one step, note what goes in, who prepares it, who reviews it, and which version may be used next. Add the available alternative and the person who decides what to do if problems arise.
After a limited trial, check whether preparation, review, and handoff work appropriately. If the data, tool, or purpose changes, reassess the scope. Ongoing use is not an end in itself.
Your integration outline
Input: Who prepares the approved source material?
Review: Who checks which requirements before adoption?
Handover: How can you tell that the result has been adequately reviewed?
Alternative: How will work continue if there is an outage or the result is unsuitable?
Next: Review the process in everyday work
A good integration can remain very limited. If the overall effort does not provide suitable benefits, the step can be dropped again. The quality of the work required matters more than how often AI is used.
Limitations and support
This article provides general workplace guidance, not a complete risk analysis or operational approval. Use only approved tools and inputs. Keep login credentials and confidential information that has not been approved out of your inputs. Review, adoption, and any resulting actions have their own designated responsibilities. If prerequisites are unclear, pause use for now and clarify with the responsible teams.
Frequently asked questions
Should I automatically use AI for every similar task?
No. The agreed framework must actually fit the task and its inputs.
Does human review replace all other approvals?
No. The tool, data, and intended use may require additional operational checks.
Is a process without AI just a fallback?
Not necessarily. The regular process may be more suitable if the benefits or prerequisites for the AI step are lacking.
Sources and context
BSI: Artificial Intelligence – Generative AI section →
accessed on October 16, 2026. German-language source.
The BSI overview page provides a description of generative models and their security risks. The integration outline is independent practical guidance, not a certified operational or security procedure.
The practical example and template are independent practical guidance, not a scientifically validated program.
Keep reading
AI in daily work – understand the opportunities and use it mindfullyChoose the right way to get started with AI based on the task, approval, ability to review, and overall effort
Read the article →
Why AI doesn’t improve every task in daily workAssess an AI output for its basis, verifiability, and consequences before using it
Read the article →Your next step
Choose one specific, open work question and clarify it with the right people. Find more articles on structure, focus, and mindful digital work in the FitStart Work Guide.
