AI Consulting for Mid-Sized Companies – Honestly Calculated
First we check whether your AI project pays off. Then we build it.
Not every problem needs artificial intelligence. We show you where AI delivers measurable value – and where classic data science is the faster, cheaper answer. We measure results in euros, not in model metrics.
Not Every Problem Needs AI – Sometimes Classic Data Science Wins
The most expensive AI projects are the ones that should never have started. That is why our consulting begins with an honest check: Is your data foundation solid? Is there a measurable business case? And does the solution really need a neural network – or will a simpler model deliver better results faster? If the answer is "no AI project", we tell you. Before you invest, not after.
What Our AI Consulting Covers
AI Strategy & Use-Case Selection
Where does AI pay off in your company? We score use cases by value, data availability and effort – and prioritise what pays back first.
AI Readiness Assessment →Data Quality & Feasibility
AI projects fail on data, not on models. We audit your data foundation before budget flows into implementation – as a fixed-price package.
Data Quality Check →Implementation & Operations (MLOps)
From prototype to production: model development, integration into your processes, and operations that keep working after go-live.
Our 6-phase workflow →Sovereign AI: On-Premises Instead of Cloud
Sensitive data does not have to leave your building. We calculated with real numbers when your own hardware pays off.
Read the cost analysis →Three Steps to a Reliable AI Roadmap
Free intro call: you describe your problem, we give a first honest assessment – no sales deck.
Structured questionnaire: before the meeting we capture your business model, data situation and goals – so the conversation is concrete from the first sentence.
Assessment & roadmap: you receive a prioritised recommendation with a business case – even if it reads "no AI project".
AI Use Cases by Industry – Calculated in Detail
No buzzword slides: for each industry we work through real use cases with data, methods and a business case. Publicly available.
Frequently Asked Questions About AI Consulting
What does AI consulting cost?
The intro call and the questionnaire are free. You start with fixed-price packages (Data Quality Check, AI Readiness Assessment) – you know the price up front. Implementation projects are quoted individually based on scope and data situation.
Do we even need AI – or is classic data analysis enough?
That is exactly what we check first. Many mid-market problems are solved faster and cheaper with classic data science than with an AI model. We recommend the method that fits your problem and your data – not the one that is currently trending.
What happens to our data?
Your data stays your data: we work GDPR-compliant and, on request, fully on-premises in your infrastructure. For sensitive projects we assess whether sovereign AI on your own hardware is the more economical option.
Which companies is this consulting for?
Mid-sized companies in the DACH region – wherever processes generate data: manufacturing, logistics, retail and fashion, real estate. You do not need an enterprise budget; a solid data foundation and a concrete problem are enough.
How do we start?
With a free, no-obligation intro call – book a slot online or send us a short message. After that, you decide whether and how to proceed.
Let us talk about your data
Free 30-minute initial call. Briefly describe your dataset and your plan; optionally you can state a preferred date.