AI and automation
Why AI needs reliable company knowledge for good content
A language model does not automatically know your current services, internal decisions, and technical limitations. For usable company content, it needs…
Insights
Insights · Page 3
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Integrate generative AI meaningfully into existing workflows
Generative AI can support individual steps of a knowledge task, such as structuring, creating variations, or preparing a draft. Whether this leads to a…
AI and automation
Clarify the process before automation
Automation executes defined work steps. If goals, responsibilities, or exceptions are unclear, these ambiguities are transferred. For a…
AI and automation
Prepare AI Automation: Seven Questions Before Starting
Before AI automation, the task, knowledge, data, authorizations, testing, error handling, and benefit should be clarified. These questions determine whether a process...
AI and automation
Pragmatically regulate AI responsibility in the company
Once AI is used regularly, concrete responsibilities are needed. Employees should know which applications are permitted, which data is used…
AI and automation
Review AI results: Who checks what and when?
Human review must be a clearly defined task in the AI workflow. Crucial are review criteria, competence, and the ability to change the result or…
Organization and Transformation
Select digital tools: First the task, then the software
A good tool decision begins with a clear task and the available options. Benefits, implementation effort, and ongoing... should be compared.
Organization and Transformation
Sensibly simplify the digital tool inventory
Fewer tools are better when tasks continue to be performed reliably and coordination, costs, or errors decrease. Simplification therefore means...
Organization and Transformation
Keep data, access, and switching options under your own control
Digital dependency does not arise solely from a specific provider. It becomes critical when a company's data, accounts, or important processes are without...
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