98% Strategy, 1% Implementation | The AI ​​Illusion: Why almost all German companies have a strategy – but hardly anyone uses it

No more endless pilot projects: Why German industry must now rely on managed services for AI

Artificial intelligence has arrived in the executive suites of German businesses – at least on paper. While 98 percent of companies now consider AI strategically indispensable for their business model, a look under the hood reveals a far more sobering reality: Less than one percent of companies have so far integrated generative AI comprehensively into their operational processes. The gap between ambitious theory and actual practice is hindering digital transformation – and it is precisely into this gap that the highly funded AI startup Unframeis now stepping. With its market entry in the DACH region and the promise of implementing production-ready AI solutions as a "managed service" within a few days, the company is challenging traditional, often lengthy IT projects. But can Unframe continue its rapid global growth in the security-focused and strictly regulated German market? A closer look at the strategy, the figures, and the challenges of a new heavyweight in the enterprise AI sector.

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• Unframe Expands Across the DACH Region

When hype meets the balance sheet: Why the DACH region is becoming a touchstone for enterprise AI

Unframe's announcement that it will soon offer its managed AI transformation platform in Germany, Austria, and Switzerland marks far more than just the typical market expansion of a well-funded startup. It comes at a time when German and Central European businesses are moving at remarkable speed from mere AI rhetoric to operational implementation. According to KPMG, 98 percent of German companies now consider artificial intelligence relevant to their business model and value creation – an increase from 56 percent in 2024 to 91 percent in 2025, reaching almost universal acceptance this year. This leap within just two years is economically significant because it demonstrates that the perception of AI in German industry has shifted from an experimental fringe technology to a strategic necessity. At the same time, this very shift is the reason why a provider like Unframe is now entering this market: because where perception and implementation still diverge significantly, the greatest commercial opportunities arise for specialized service providers.

Between aspiration and reality: The gap in German companies

The real economic story behind Unframe's expansion lies not in the sheer approval rating, but in the gap between strategic intention and actual integration. The same KPMG study, published under the title "Generative AI in the German Economy 2026," which surveyed 480 decision-makers from various industries, shows that while 98 percent of companies now have an initial AI strategy, less than one percent have systematically integrated generative AI across all business areas. This discrepancy is the actual market that Unframe aims to address. It's a classic example of technological diffusion, where the spread of an idea far outpaces its actual implementation within companies – and it is precisely within this gap that the consulting and implementation industry generates revenue. The proportion of companies with a formalized AI strategy has risen from 31 percent in 2024 to 69 percent in 2025 and finally to almost 98 percent in 2026, highlighting the enormous pressure to act within a very short timeframe. Companies that cannot yet present a strategy are increasingly falling behind their competitors, and this competitive advantage is precisely the strongest selling point currently available to providers like Unframe .

Managed Services as a silent winner of the AI ​​transformation

A key, often underestimated aspect of current developments is the growing importance of managed services as the preferred operating model for AI deployment in companies. The KPMG Managed Services Outlook 2026, based on a survey of more than 1,200 executives worldwide, shows that 99 percent of companies now consider managed services strategically relevant, and 87 percent have already integrated them into their operations. Remarkably, 91 percent of the surveyed companies believe this operating model is necessary for the effective and scalable implementation of artificial intelligence. This figure provides the economic rationale for Unframe's positioning as a managed AI transformation platform. The company does not act as a mere software provider, but rather assumes responsibility for the operation, integration, and scaling of AI applications for its clients. German companies use managed services less frequently as a pure cost driver than the global average, but primarily to operate technologies in a controlled and reliable manner, indicating a strong security and governance culture within the German economy. For a provider that explicitly advertises with security, governance and measurable results, this cultural preference is a structural advantage over competitors who focus more on speed and experimentation.

The growth figures behind the market move

To understand the substance of Unframe's expansion, it's worth looking at the company's key operational figures. Within the first twelve months after its official market launch Unframe surpassed $100 million in total contract value and achieved a net revenue retention rate of 400 percent. This means that existing customers quadrupled their spending with Unframe on average. Simultaneously, the company raised a total of $100 million in funding, most recently a $50 million Series B round led by Highland Europe, with participation from existing investors such as Bessemer Venture Partners, Craft Ventures, TLV Partners, Third Point Ventures, Cerca Partners, and Vintage Investment Partners. This combination of extremely high customer retention and aggressive capital inflow is economically revealing: A net revenue retention rate of 400 percent is exceptionally high in the software industry and indicates that customers who start with a productive solution quickly scale their investment. This supports the theory that Unframe is indeed capable of making the leap from the pilot phase to enterprise-wide scaling – a step that many AI projects fail to achieve in practice.

An Israeli start-up with global ambitions

Unframe was founded in March 2024 by Shay Levi, Larissa Schneider, and other co-founders and has grown from a small founding team to around 150 employees within two years. The company deliberately positions itself not as a provider of incremental efficiency improvements, but as a partner for solving large, core operational problems where, according to the company, investments in the millions are at stake and failure would have significant business consequences. This positioning distinguishes Unframe from many competitors who focus on horizontal, generally applicable AI tools. Instead, the company aims for customized, production-ready solutions that are operational within a few days in the respective customer's environment. This speed of implementation is a crucial competitive advantage, as the long time-to-value of traditional IT projects is often considered the main obstacle to the digital transformation of large corporations and medium-sized industrial companies, particularly in Germany.

Frankfurt and Nuremberg as anchor points of the DACH strategy

Frank Bergmann will assume operational leadership of the DACH region, operating from Nuremberg as Regional General Manager and bringing extensive experience in enterprise software sales to the role. In explaining the choice of location, he emphasizes that the DACH region is home to some of the world's most demanding companies and that there is a genuine need to integrate AI beyond mere experimentation into the core business processes. This assessment aligns with KPMG data, which shows that while nearly all companies have strategically embedded AI, its actual operational penetration remains limited. Nico Wagemans, Executive General Manager for the EMEA and APAC regions at Unframe , describes the DACH region as the natural next step in the company's European growth, highlighting the complexity of the business environments there and their strong focus on security, governance, and measurable results. This statement is economically significant because it signals that Unframe 's sales strategy is not geared towards quick, superficial deals, but rather towards long-term partnerships deeply embedded in the company's processes, which entail higher entry barriers but also more stable customer relationships.

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Germany as a test lab for regulated AI adoption

Germany differs from many other industrialized nations in its particularly pronounced regulatory and security-oriented corporate culture, which directly impacts the pace and form of AI adoption. The KPMG industry report on the technology sector notes that while Germany is perceived as a stable location, it has not yet consistently achieved the necessary depth of implementation, and competition is increasingly determined not by the mere availability of the technology, but by its integration and management. For a provider like Unframe , this means that technical superiority alone is not enough to gain market share. The crucial factor is the ability to meet complex governance requirements, data protection regulations, and the internal approval processes of large organizations without sacrificing the promised speed of implementation. This balancing act between regulatory diligence and operational agility is more pronounced in Germany than in almost any other European market, which, on the one hand, makes market entry more difficult, but on the other hand, creates a more sustainable competitive advantage for those providers who truly master this balancing act.

Why the investments have paid off so far

Another important element for understanding current market dynamics is the German companies' own assessment of their AI investments to date. According to the KPMG study, 71 percent of the surveyed companies stated that their expectations for AI investments had been met or even exceeded. This positive feedback is economically significant because it provides the basis for further budget increases. The previous year, 82 percent of companies had already indicated their intention to increase their investments in the coming twelve months, with more than half planning budget increases of at least 40 percent. These figures paint a picture of a self-reinforcing investment cycle in which positive initial experiences lead to larger budgets, which in turn enable deeper integrations and thus further increase the demand for specialized implementation partners. For Unframe and similar providers, this creates a favorable macroeconomic environment in which growth is driven not primarily by marketing, but by actual, positive customer experiences from early adopters.

The competition for enterprise AI infrastructure

The market for managed AI platforms is no longer limited to just a few providers. It now encompasses large cloud hyperscalers with their own AI services, as well as specialized consulting firms and a growing number of startups focusing on industry-specific or function-specific solutions. Unframe's unique selling proposition lies in its claim to deliver production-ready solutions within a few days and to provide proof of effectiveness directly using the customer's own business data – an approach that Frank Bergmann describes as a key differentiator compared to traditional technology projects. In a market where many companies have already had negative experiences with lengthy and expensive pilot projects, a credible promise of fast, verifiable results can represent a significant sales advantage. At the same time, competitive pressure increases with market maturity, as more and more providers make similar promises. As a result, true differentiation will increasingly be achieved through demonstrable customer results and reference projects rather than mere marketing claims.

Risks and open questions of rapid scaling

Despite all the positive momentum, the structural risks of such rapid international expansion must not be overlooked. A company that has grown from a handful of founders to 150 employees within two years, while simultaneously expanding into several new geographic markets, faces significant organizational challenges – particularly regarding quality assurance of production-ready AI solutions during parallel scaling. The extremely high net revenue retention rate of 400 percent, impressive as it may sound, is naturally based on a relatively small and potentially unrepresentative customer base from the initial contract years, meaning its long-term viability remains to be seen. Furthermore, the German market is traditionally demanding for foreign technology providers. Decision-making processes in large corporations and medium-sized industrial companies often take longer than in Anglo-Saxon markets, and local references and trust in data protection and security standards play a disproportionately large role. The decision to start with an experienced, locally rooted General Manager in Nuremberg should therefore be understood as a conscious response to these market characteristics and shows that Unframe takes the cultural and structural differences of the German-speaking market seriously.

What market entry means for German companies

For companies in Germany, Austria, and Switzerland, Unframe's market entry signals a further consolidation of specialized AI implementation partners and intensified competition for corporate clients. Given that, according to KPMG, less than one percent of German companies have fully integrated generative AI into their processes, there is a significant, largely untapped market for providers who can credibly demonstrate their ability to close this integration gap. For decision-makers in industry, SMEs, and the service sector, this means a wider selection of partners for operational AI transformation. At the same time, however, it also increases the need to carefully evaluate providers based on verifiable results, security standards, and actual implementation speed, rather than relying solely on marketing promises. The combination of growing strategic awareness – as demonstrated by KPMG's figures with their almost unanimous agreement on the relevance of AI – and the still low operational penetration creates a market window that is expected to be occupied by several international and local providers simultaneously in the next one to two years.

Unframe as a litmus test: How international AI strategies fare under the conditions of the DACH market

The real test for Unframe in the DACH region will not be measured by the number of signed contracts, but by its ability to replicate the promised speed and quality of results under the stricter regulatory and cultural conditions of the German-speaking market. Should the company succeed in achieving similarly high net revenue retention rates as in its original core market, this would send a strong signal that managed AI models can scale successfully even in more heavily regulated European economies. At the same time, the further development of KPMG's metrics on the actual integration depth of generative AI in German companies will be an important indicator of whether the current strategic momentum translates into tangible operational substance or whether the gap between aspiration and reality persists. For observers of the German economy interested in the practical impact of AI transformation on industry, automation, and digital business models, the developments surrounding Unframe thus offer an insightful test case of how international capital, technological promise, and the specific requirements of the German-speaking market intersect.

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