AI is no longer a side project; it’s at the heart of how modern enterprises operate, innovate, and compete. But as AI moves from experiments to production, the real challenges start to surface: complex infrastructure, data strategy gaps, and a growing need for trust that goes deeper than marketing buzzwords.

Supporting AI at scale isn’t just about model selection. It means rebuilding systems, rethinking governance, and securing every layer of the enterprise. Yet many organizations are still trying to bolt AI onto legacy architectures and hoping for the best.

In this episode, Itamar sits down with Tony Olzak, CTO of Trace3, to unpack what it truly takes to make enterprise AI work in the real world. They discuss the architectural shifts driving AI adoption, the common mistakes companies keep repeating, and how to build trust that actually holds up when AI becomes business-critical.