For most business models, AI is no longer a question of ‘if’, but of ‘where’ and ‘how’. Many founders recognise the potential, but lack a robust framework for prioritising which use cases actually create value and which merely tie up resources. Added to this is the question of whether data and infrastructure are even robust enough to deploy AI productively. This is where FOSTEC Ventures comes in: by distinguishing between effective and supposed AI levers.
Context & Relevance
With every operational process that AI reliably takes over, the competitive advantage shifts in favour of data-driven models. At the same time, the risk of misguided investments increases: AI projects without a clear value proposition, without a sufficient data foundation or without a link to the core business tie up capital without delivering any impact. For an investment, it is therefore crucial to determine whether AI is a genuine value driver within the business model or merely an ancillary feature. This distinction determines whether AI results in a defensible advantage or merely a temporary effect.
Our approach
Our contribution combines our core asset – expertise – with the AI and data expertise drawn from the FOSTEC & Company network. We assess AI from an investor’s perspective based on its actual value contribution, not on its technological potential. Three areas form the core.
AI Use Cases & Opportunity Mapping
The starting point is the systematic identification of use cases in which AI creates measurable value within the business model, whether in product development, sales or operational processes. We evaluate the use cases in terms of value contribution, feasibility and data availability, and prioritise them based on the ratio of impact to effort. The aim is to draw a clear distinction between levers that create a defensible advantage and those that appear attractive in the short term but lack substance. For founders, this results in a prioritised AI roadmap rather than a collection of individual ideas. For investors, it becomes clear where AI actually influences the company’s value.
Mehr erfahrenAI Product Development & Prototyping
The journey from a prioritised use case to a viable product is a distinct process in itself. We support the development of effective AI features, from a robust prototype through to validation with real users, before any investment is made in full-scale implementation. The focus is on clarifying the key questions at an early stage: does the model deliver reliable results, do users accept the solution, and does the added value justify the effort? This approach reduces the risk of tying up capital in features that do not hold up in practical use. For founders, it provides a rapid, fact-based foundation for product decision-making. For investors, AI moves from a promise to a proven component of the offering.
Data & AI Infrastructure
Any AI model is only as robust as the data and infrastructure on which it is built. We assess whether data quality, data availability and the technical foundation can support productive and scalable AI deployment, and identify the gaps that need to be closed before scaling up. This is not about maximising technical capabilities, but about establishing the appropriate foundation for the specific use case. For founders, this provides clarity on which investments in data and infrastructure are actually necessary. For the portfolio company, this approach ensures that AI applications do not fail due to an inadequate data base, but instead scale on a robust foundation.
Mehr erfahrenAccess to the FOSTEC & Company network
AI and data expertise form part of FOSTEC & Company’s strategic focus as a leading strategy consultancy for e-commerce, AI and digitalisation. Through this network, FOSTEC Ventures’ portfolio companies gain access to methodologies, practical insights and specialists from specific AI and data projects. This allows the evaluation of use cases, prototypes and infrastructure to be based on robust practical experience rather than general assumptions. As a company builder, FOSTEC Ventures actively contributes this expertise to the further development of the business model.
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