AI Consulting for Businesses

Few topics occupy management teams as much as artificial intelligence right now – and few are as hard to judge. Between impressive demos and productive use in your own business lie questions about data quality, reliability, data protection and running costs that rarely anyone asks before the budget has been allocated.

Our AI consulting answers these questions before you invest. We look at your workflows and data, not at buzzwords, and assess without bias towards any technology where AI delivers real value – and where conventional automation or better software is the more economical route.

Potential analysis. Where is time lost today, where is information buried in documents and mailboxes, and what data is already available? The result is a list of possible use cases.

Use case definition. Vague ideas become concrete tasks with a measurable goal: what should the AI do, who uses the result, and when is it good enough?

Technical and economic assessment. Which model is suitable, run locally or with a provider? What do implementation and operation cost, and what benefit do they deliver in return?

Organisational fit. Who checks the results, which data may the model see, and how does the solution fit into existing workflows?

Language models are strong at understanding text and images, but they do not calculate reliably and do not always give the same answer. That is why, in our project cost calculator, an AI model on our own servers only recognises the project type and the stated requirements. The price is calculated by a fixed set of rules – transparent and reproducible.

The same care applies to data. In our product Inventary, credentials such as Wi-Fi passwords never reach the model, and we use local models and European providers. We make such decisions deliberately during consulting and document them, so that they are not left to chance later on.