

Many companies recognize the potential of artificial intelligence, but are faced with the question of where they should actually start. A lack of clarity about use cases, data or benefits often means that projects are not even started in the first place.
With AI Product Discovery, we help companies develop concrete, sustainable solutions from vague AI ideas — well-founded, user-centered and with clear added business value.
Instead of using technology too quickly, we start with the real challenges of your business. Together, we create the basis for AI solutions that are meaningful, feasible and responsible.


Many AI projects fail not because of technology, but because of unclear goals, unsuitable data, or lack of benefit. AI Product Discovery ensures that you make the right decisions before implementation:
The result: clarity, focus and a reliable basis for decision-making.

Ing. Jasmin Hamidovic
The best experience I've ever had with an external partner! The implemented software is even better than the originally planned version and has a quality that I would not have thought possible.
AI Product Discovery offers a structured path from a clear problem definition to a well-founded go/no-go decision. The process creates transparency as to where AI provides real added value, which requirements must be met and whether an investment is actually worthwhile.
In this way, you make AI decisions based on benefit, feasibility, data maturity and risk before time, budget and resources are tied up.
Together, we develop a well-founded understanding of the problem that is to be solved.
Outcome: A clearly formulated problem statement supported by all parties involved as a reliable basis for all further steps.
Based on the problem, we develop a concrete AI-based solution approach.
Outcome: A reliable solution concept that directly contributes to real work processes.
AI is only as good as its data. We will evaluate your data basis together.
Outcome: A clear assessment of data maturity, including identified risks and necessary measures.
We translate the idea into a concrete business case.
Outcome: A transparent business case as a basis for making investments.
Trustworthy AI doesn't happen by chance. We address risks early on.
Outcome: Documented risks and clear protective measures for responsible use of AI.
Before big investments are made, we make the benefits tangible.
Outcome: Clearly defined test cases and a well-founded decision for or against implementation.

Ready to make informed AI decisions?
Whether it's an initial idea or a specific question — AI Product Discovery provides clarity, reduces risks and lays the foundation for successful AI solutions.
Let's find out together where AI really makes sense for your company.

AI Product Discovery is a structured approach to turning a business challenge into a meaningful, actionable AI solution. The focus is not on technology or tools, but on understanding the problem, benefits, data maturity and decision security.
AI product discovery is particularly useful when companies recognize AI potential, but it is still unclear where specifically to start, whether the data is sufficient or whether an investment pays off. Even before major investments in AI, the approach helps to reduce risks and avoid wrong decisions.
While classic AI consulting is often technology-driven, AI product discovery starts with the business problem. The approach combines business, user, data and risk perspectives and provides a reliable basis for decision-making before development or implementation costs arise.
Companies receive a clearly defined problem statement, a specific AI solution concept, an assessment of data maturity, a comprehensible business case and a well-founded go/no-go decision for implementation.
Yes AI Product Discovery is specifically suitable for companies without an existing AI strategy. The process helps to create clarity, set priorities and find a realistic introduction to the topic of artificial intelligence.
AI Product Discovery translates AI potential into a language that is relevant for decision makers. Benefits, feasibility, risks and investment costs are compared transparently so that decisions can be made based on facts and comprehensibly.
Useful AI use cases arise where real business problems can be addressed with data-based solutions. AI Product Discovery analyses processes, tasks, and user needs to identify AI use cases that are both feasible and economically relevant.
An AI proof of concept shows, within a limited framework, whether a specific AI approach works in principle from a technical point of view. It is used to validate assumptions and gain initial experience, but is not yet intended for productive use.
An AI MVP is a first, usable version of an AI solution with a clearly defined range of functions. The aim is to check the actual added value in real use and to receive well-founded feedback from users.
AI Product Discovery defines in advance the requirements, success figures and test scenarios that an AI MVP must meet. This creates a clear scope for implementation and a reliable basis for realistically evaluating benefits, costs and risks.
Through structured preparatory work, incorrect assumptions, unsuitable use cases or inadequate data bases are identified at an early stage. As a result, companies invest more specifically in AI PoCs or MVPs that have a realistic path to creating value.
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