Germany’s moment at VivaTech 2026: Leading the global movement to industrialize Enterprise AI

As the world’s technology leaders gather in Paris for VivaTech 2026, one question will dominate the conversations taking place across boardrooms, government delegations, startup stages, and innovation hubs: How do we turn AI’s promise into meaningful, scalable performance?

AI excitement has never been greater. Organizations across every industry are investing heavily in the latest AI capabilities to improve productivity, accelerate decision-making, strengthen resilience, and unlock new sources of growth. Yet many leaders are discovering a simple reality: intelligence alone is not enough. As smart as AI is becoming, intelligence isn’t translating to game-changing business outcomes.

That's why VivaTech 2026 carries particular significance. It gives us the opportunity to showcase the means to bridge the gap between promise and performance: context.

The future of AI will not be determined solely by the power of models. It will be determined by the quality of the context that guides them. Deep, detailed, operational and organizational context. Which makes it particularly fitting that Germany is taking center stage as VivaTech's Country of the Year.

Not only because Germany has (and will showcase) one of the world’s leading innovation economies, and one of the most important industrial ecosystems of the digital age. And not just because Germany, and Europe, can model a distinctive vision for AI leadership, built on both technological and operational excellence.

But also because that vision already has a proof point. Through Celonis, founded in Munich in 2011 and now one of Germany's most successful technology companies, Germany has a business that demonstrates how Enterprise AI can create measurable business outcomes at scale.

AI without context is just noise

Generative AI and large language models have fundamentally changed what technology can do. They can write, summarize, analyze, automate, predict, and create. But there remains a critical limitation.

As Rudy Kuhn, Celonis Process Evangelist, frames it: “The question is not whether machines can run the show. The question is whether they can understand the show. The enterprises that win in the Industry 5.0 era will be those that provide AI with the context needed to make decisions that are trusted, explainable, and aligned with business outcomes.”

AI models are brilliant generalists. They’ve been trained on data from the public internet, so they know what an invoice is and how a supply chain works. But they don’t inherently understand how your business operates. They don’t know how work moves across your systems and departments. Out of the box, AI cannot comprehend process dependencies, regulatory requirements, supplier relationships, operational bottlenecks, customer commitments, or strategic priorities.

Without this understanding, AI has major operational blind spots that can lead it to produce dangerously plausible recommendations. It can automate activities without understanding their impact. It can generate answers based on a partial understanding of an organization's operational reality. For enterprises, governments, and critical industries, introducing an ill-informed but very powerful transformation AI solution creates risk rather than value.

Organizations need AI that understands how work actually gets done. They need Enterprise AI that can operate within the context of their business – by understanding the context of their business. Without this, AI analytics and recommendations are just noise.

Why context is becoming the new competitive advantage

For decades, companies have invested in systems that capture transactions, workflows, and data. What they need now are AI solutions with the ability to understand and act based on how all those pieces connect.

This is where the Celonis Context Model changes the equation.

The Context Model provides the operational intelligence layer that lets Enterprise AI understand how a business actually works. By connecting processes, systems, data, people, policies, and business objectives, it gives AI the context and decision intelligence to move beyond generating outputs toward delivering outcomes. Rather than operating in isolation, Enterprise AI is grounded in the reality of the business. The result: agents that can reason correction, decide sensibly, and act reliably to produce meaningful business impact. While at the same time, keeping token consumption efficient and cost-effective. And as learnings from your agents and people are fed back into the Context Model, its value compounds over time. Each new agent gets cheaper and more effective than the previous one.

Germany's strength is the world's opportunity

As nations race to establish AI leadership, Germany offers an important lesson. The country's strength is not simply its ability to innovate. Its strength is deep expertise in managing complexity.

Across manufacturing, automotive, energy, healthcare, financial services, logistics, engineering, and the public sector, German organizations have built some of the world's most sophisticated operational systems.

Those capabilities are increasingly valuable in the age of AI. As AI moves from the laboratory into real-world operations, success depends on understanding how businesses, governments, and institutions actually function. This is where Germany, and Europe more broadly, hold a distinct advantage: the hard-won instinct that technology transforms a business only when it is wired into operational reality.

For Jean-Marc Menard, interim Managing Director of Celonis France, this is exactly where the opportunity lies: “The future of AI belongs to organizations that combine intelligence with operational context. Europe has spent decades mastering complex industrial processes. That experience is becoming one of the most important competitive advantages in the age of enterprise AI”, he said.

And that lesson extends far beyond Europe.

Whether in North America, Asia, the Middle East, Latin America, or Africa, organizations face the same challenge: making AI deliver meaningful results at scale. Again, the key to overcoming this challenge (wherever you are in the world) is remarkably consistent: give AI the context it needs to excel.

From AI experimentation to enterprise transformation

This context-driven vision will be front and center throughout VivaTech 2026.

As part of the German Corporate Village, alongside Siemens, T-Systems, and other leading innovators, Celonis will showcase how the Celonis Platform, with the Celonis Context Model at its heart, are moving organizations from AI experimentation to enterprise transformation.

Across discussions on Industry 5.0, digital sovereignty, government modernization, industrial resilience, and Enterprise AI, one theme keeps surfacing. The organizations creating the greatest value from AI are not those deploying the latest frontier models, but those giving their models the deepest understanding of how their business operates.

As Germany takes a starring role at VivaTech, it leaves leaders everywhere with the same reminder: the next era of AI will not be won by intelligence alone, but by intelligence grounded in business context.