Many enterprises are rushing to prove their AI credentials, but few truly embed AI into how they operate, decide, and deliver. Being “AI-native” is not about chasing the latest model; it is about ensuring AI becomes part of the organization’s DNA and integrating intelligence into every process. This requires a mindset shift where AI is treated as a partner, supported by experimentation, governance, and AI literacy across the organization. At the same time, companies must modernize legacy systems to unlock AI’s potential. Ultimately, success lies in embedding AI so deeply in workflows that it quietly amplifies productivity, accuracy, and insight, says Matt Cloke, chief technology officer at ENDAVA.

There are, of course, technical hurdles to overcome, too, one of which is modernizing legacy systems. Many enterprises still operate on outdated infrastructures that simply weren’t designed for the demands of modern, data-driven intelligence.