AI Integration Becomes Standard in Global IT Transformation Projects

The survey of over 1,100 professionals highlights that AI usage is no longer experimental. Roughly 63 percent of organizations now deploy AI to audit their IT landscapes before launching projects, while 60 percent rely on automated tools to assess data quality. This strategic shift is particularly pronounced in corporations with annual revenues exceeding one billion euros. These large-scale entities are significantly more likely to utilize AI for quality assurance and testing compared to their smaller counterparts.

Despite the rapid adoption of new tools, the fundamental hurdle for digital success remains unchanged. Since the inaugural study five years ago, data quality has consistently ranked as the primary barrier to effective transformation. While the industry's focus has evolved from simple cost-cutting and legacy system replacement to long-term innovation, the reliance on high-quality data persists. Experts note that even the most sophisticated AI models fail to deliver value without trusted underlying data, reinforcing the need for rigorous preparation during the migration process.