Looking for AI consulting without the bullshit?
No vendor demos, no AI roadmaps for Q3. We are pragmatic, direct and will tell you when a solution simply does not make sense.
A Copilot license is not an AI strategy.
The problem isn't that companies have too little AI. The problem is that nobody knows where to start — and in the meantime, shadow IT grows, data gets duplicated, and tools pile up that nobody maintains. In a few years, the first AI consolidation projects will kick off. We've seen this film before.
Not starting is still not an option. While you wait, your competitors are already running working solutions.
Are they perfect? No.
Are they better than nothing? Absolutely.
Which one are you?
None of them is a strategy. All of them are avoidable.
The non-starters
Data privacy concerns, uncertainty, too many open questions. Understandable — but meanwhile, the competition is building.
The risk: Those who don't start now will be catching up in two years under twice the pressure.
The action-takers
Copilot here, AI module there, ChatGPT wrapper somewhere else. High costs, little impact. At least they're "doing something".
The risk: Uncontrolled shadow IT and costs with no measurable value.
The overbuilders
Custom AI systems that talk to everything — but nobody understands them, nobody maintains them, nobody knows what they cost.
The risk: Technical debt 2.0 — this time with an AI label on it.
No AI deck. No roadmap for Q3. Just the next concrete step!
Our AI consulting does not start with a slide deck. We look at your entire environment: tools, departments, data foundation, already running solutions. We identify the no-brainers, where can AI take over work tomorrow that nobody wants to do manually today?
And we show you where shadow IT is already growing, before it becomes a problem.
Typical challenges in AI consulting
AI Hackathon – Build Real AI Solutions in 48 Hours
AI hackathon: why 48 hours of building together beats 12 months of AI strategy, and how we work with your team to ship real solutions fast.
AI Automation for Mid-Sized Businesses: The Right Process
AI automation: why most projects target the wrong process, how to find the right one, and what a realistic first step actually looks like.
AI Basics: What Needs to Be Right Before AI Makes Sense
AI basics that need to be right before AI makes sense: clean data, clear processes, defined ownership. Why AI rollouts fail without them.
AI Strategy Consulting – From Slide Deck to Real Results
AI strategy consulting: what a real AI strategy looks like versus a slide deck, and why the most annoying use case is the best starting point.
AI Tools Comparison: ChatGPT, Claude and Gemini
AI tools overview: ChatGPT, Claude and Gemini compared, and why choosing the tool is not the most important question for your AI project.
Vibe Coding: 80% Hype. 20% Fight.
Vibe coding: the first 80 percent build fast. The last 20 percent are a real fight. What the hype videos do not show, and when vibe coding actually works.
Frequently asked questions
Potentially everything. What AI won't change as quickly: areas where people work with atoms, so physical labour, craftsmanship, direct human interaction. Everything digital is already transforming, but even that is still in its early stages. Those who are in it now have the chance to shape it rather than just watch.
All three are large language models and more similar under the hood than their marketing departments would admit. In practice, choosing the LLM is not the critical question. Far more important is: what problems do we want to solve internally with it? AI is a lot more than a chat interface. If you start with the tool question, you're asking the wrong question.
Both can be true depending on where you are starting from. The AI features in your existing systems are often a good low-effort entry point. The problem arises when you mistake that for a strategy. A real AI strategy looks at the full picture: which processes can be automated, what data do you have, and where is the biggest lever?
Yes, absolutely. Just get in touch, that's exactly what we're here for.
Yesterday would have been ideal. The market moves fast, yes, but gathering experience matters more than waiting for tomorrow's supposedly best solution. Those who wait will be catching up in two years under twice the pressure.
It depends on the scope. A first assessment with concrete recommendations takes us two to three weeks. First working solutions in another four to eight weeks. We don't work in quarters.
NO DISCOVERY THEATER.
Tell us where you stand — we'll tell you in one conversation where the no-brainer is.