AI consulting that finds potential — not hype to sell
We find the processes where AI truly saves your company money — vendor-neutral, GDPR-compliant and with a clear effort-versus-benefit assessment for every use case.
AI consulting is the structured assessment of where, in your company, artificial intelligence delivers measurable value — and where it does not.
What AI consulting means at weooo
Few technologies are currently as overhyped as artificial intelligence. The result: many companies feel pressure to "do something with AI" without knowing where the real lever is. This is exactly where our AI consulting comes in — and it reverses the order. The starting point is not the technology, but your process. We look at where time is lost, where errors arise and where knowledge sits in people's heads instead of in systems, and then assess whether and how AI actually helps there.
We don't sell a tool — we provide a basis for decisions. That also means we tell you honestly where the investment pays off and where a simple automation or a clean data structure is the better answer. This vendor neutrality is our principle — and the reason our recommendations hold up. Because we use AI in our own daily work, we assess it from practice rather than from a brochure.
Typical use cases we assess.
In practice, these four areas hold the most common and fastest potential.
Customer service
Automatic responses to recurring inquiries and assistants that supply staff with the right information.
Knowledge management
Make scattered company knowledge from manuals, policies and projects searchable and instantly usable.
Document & proposal processes
Proposals, summaries and standard documents are prepared instead of being created by hand every time.
Data analysis
Large, previously unused volumes of data are evaluated and support decisions with facts instead of gut feeling.
Our consulting process.
Four steps from your starting point to a well-founded AI decision.
Analysis
We map processes, data and systems and understand where time and quality are lost day to day.
Use-case prioritization
Each use case is rated by effort, benefit, risk and GDPR and put into a clear order.
Roadmap
You receive an actionable plan: which cases first, with what effort and what expected impact.
Pilot recommendation
We recommend one concrete pilot with measurable value — the ideal, low-risk entry into implementation.
GDPR & data protection
AI and data protection are not a contradiction — provided you think about both from the start. In every assessment we clarify which data a use case needs and whether it may be processed at all. Where sensitive information is involved, we prefer European or self-hosted models in which your data never leaves your house uncontrolled. That way no solution is built that later fails on data protection, and you keep sovereignty over your information. For us, data protection is not an obstacle but part of a clean architecture.
Who AI consulting is worth it for
Our AI consulting is aimed at brands, SMEs and mid-sized companies that want to use AI not for its own sake but with clear business value. Typical starting points: customer service is drowning in repetitive inquiries, proposals are laboriously created by hand, knowledge is spread across many heads, or large volumes of data lie unused. In all these cases a structured look is worthwhile — and sometimes the result is that a simple process fix delivers more than any AI model.
As a digital agency from Dortmund we advise clients in Germany, Austria, Switzerland and Poland — remotely or on site. The decisive advantage: what we recommend, we can also implement. The next steps usually lead straight to AI implementation & automation; where the basics are still missing, digitalization consulting is the better start. For an overview of our AI services see the AI solutions page, and concrete results in our projects.
Frequently asked questions
What does AI consulting cost?
It depends on the project — a compact opportunity analysis has a different scope than a consulting engagement with a roadmap. That is why we do not quote flat rates but give you a concrete proposal after a free initial conversation. So before you commit, you know exactly which service corresponds to which effort.
How long does AI consulting take?
A focused opportunity analysis usually takes two to four weeks. The first workshop often happens in the very first week; after that we analyze your processes and data and present the results to you.
Do we need our own data or an in-house IT department for this?
No. For the consulting it is enough that you know your own workflows — we handle the technical assessment. As part of the analysis we also check which data exists, in what quality, and what foundations would be needed. An in-house IT department is not a requirement.
Is AI consulting GDPR-compliant?
Data protection is a fixed part of every recommendation. We assess early on which data may be processed and prefer solutions with a European or self-hosted data path. That way no use case is created that later fails on GDPR.
What is the difference from classic management consulting?
Classic management consulting usually ends with a recommendation. We combine AI consulting with the ability to implement what we recommend ourselves — and we work vendor-neutral, without trying to sell a particular tool. We also use AI ourselves every day and assess it from practice, not just theory.
Questions, projects, help?
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