Data and Control
AI in SMEs: Business Case instead of Tool Hype
How SMEs check AI projects with baseline, full costs, quality criteria, and business results, instead of confusing usage with impact.
AI and automation
Use AI where the task and responsibility are clear.
For companies that want to test suitable applications and consider knowledge, data, testing, and responsibilities from the outset.
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All InsightsOrientation in the Topic
Start with the right question.
A usable AI process requires more than a tool. The contributions help to define use cases, check results, and create organizational prerequisites. Legally variable topics are classified with a recognizable status.
- Which task is suitable for a first attempt?
- What knowledge and data may be used?
- Who checks results and is responsible for further actions?
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
Build up company knowledge as a reliable basis for work
As soon as knowledge is regularly used in sales, service, editorial, or AI applications, its quality becomes part of ongoing operations. Achievable…
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…
AI and automation
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
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…
AI and automation
AI Act in companies: Turning rules into a clear AI working method
The AI Act affects companies depending on their role and the specific AI applications. A sensible starting point is therefore an overview of use cases, data…
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What specifically should improve for you?
Describe your starting situation. We will clarify what support is sensible and what a suitable entry point could look like.
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