AI Consulting for Mid-Sized Companies -
projects honestly calculated
The most expensive AI projects are the ones that should never have started. We do the maths before you pay.
Not every problem needs artificial intelligence. You see 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, then 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 and 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.
AI in Manufacturing
Predictive maintenance, scrap, on-time delivery
AI in Logistics
Driver turnover, dwell times, forecasting
AI in Fashion
Pre-orders, returns, markdown optimisation
AI for Real Estate Agents
Time on market, lead scoring, pricing strategy
AI in Publishing
Churn prediction, dynamic paywall, subscription forecasting
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), so 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, and 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.
These services do not replace legal data protection advice.