You map your AI landscape, feel confident, and then a key vendor tool is reclassified as “high-risk” under the EU AI Act. Questions immediately follow: Which processes depend on it? What data does it use? Are there alternatives? How quickly can you move?  

When it comes to digital transformation, progress is still a steep climb for many. Recent studies show that 88% of transformation fall short of their ambitions while only a quarter of organizations qualify their efforts as truly successful. [1]

But after decades of investment, why is real impact still so rare? The answer lies in a persistent gap between strategy and execution. McKinsey research indicates that even high-performing companies deliver around 30% less value than their strategies promise. [2]

Not long ago, digital transformation was seen as a long-term strategic goal. Today, it’s a high-stakes sprint, with unprecedented urgency. In a world where AI reshapes industries monthly and macroeconomic volatility rewrites priorities overnight, the companies that survive — let alone lead — are those that can adapt faster than their competitors.

Many organizations are prioritizing a robust digital strategy that emphasizes agility and technological acceleration. The speed of digital innovation enables businesses to streamline operations and adopt digital solutions that enhance efficiency. As companies move toward digital maturity, they are challenged to achieve digital transformation while scaling their initiatives effectively.