Data foundation, analytics or assistant: the right starting point
If information is spread across many systems or key figures contradict each other, we start with data integration and a suitable platform. If decision makers need a better overview, business intelligence follows with aligned definitions. Recurring forecasting or classification tasks can justify machine learning; a good data foundation remains a prerequisite for that.
AI assistants are particularly suitable when approved knowledge needs to be found and presented in an understandable way. However, they do not automatically resolve missing documentation or unclear permissions. We test the use case with realistic questions and link answer quality to responsibility for the underlying content.








