AI Blog: Artificial Intelligence for Small and Mid-Sized Businesses

For decision-makers in mid-sized companies who want to understand AI as a tool for concrete processes rather than a buzzword – from quote costing to document review.

With a process that occurs often, is clearly described and eats time today. Quote costing, invoice checking and enquiry qualification are the three entry points that pay off fastest.

We offer the potential analysis at a fixed price; a first productive use case typically sits in the low five figures. The deciding factor is how clean your data is.

Not necessarily, but a central data platform helps. Without a reliable data base, any model produces results that nobody quite trusts.

First classify which risk category your use case falls into. Most mid-market cases carry transparency and documentation duties – we plan those in from the start instead of retrofitting them.

Yes, if you set it up that way. We work with European providers such as Langdock and with models operated inside the EU – or locally, if the data demands it.

In our projects AI takes over routine parts, not roles. The noticeable effect is that established teams handle more volume without quality suffering.

A chatbot answers, an agent acts: it reads data from the ERP, makes a decision based on rules and writes the result back – supervised and logged.

With a metric fixed before you start: throughput time, error rate or cases handled per employee. Without a baseline, any later assessment is a matter of taste.

An AI potential analysis: two weeks, fixed price, ending in a prioritised list of use cases with effort and expected effect.