In this episode of Transform Work, host John Winsor sits down with Nuri Demirci Lopez — co-founder of NeoSentia and former Microsoft principal product manager — to explore the future of leadership in an AI-enabled world. With 20+ years in product innovation, digital talent systems, and workforce transformation, Nuri shares how AI “digital twins” can replicate a leader’s voice, judgment, and decision-making to scale expertise across an organization.

We dive into how Neocentia is building hyper-personalized AI agents, what it means to multiply human impact through technology, and why organizations need to rethink how they deploy talent in the age of generative AI.

In this episode of Transform Work, John Winsor talks with Steve Chase, Global Head of AI and Digital Innovation at KPMG. Steve has spent more than twenty years leading major technology and business transformations, and today he is driving KPMG’s global effort to scale responsible, high-impact AI across industries and internal teams.

John and Steve discuss what it takes for organizations to move from experimentation to real enterprise adoption. They explore how trust, governance, and strong operating models can turn AI ambition into measurable results.

In this episode of Transform Work, John Winsor is joined by Ryan Kurt, Founder and CEO of The AI Lab. For more than a decade, Ryan has been at the forefront of generative AI and large-language-model innovation, helping organizations move beyond experimentation and toward meaningful transformation. His work has guided executives through strategy development, capability building, evaluation, and full-scale deployment of AI across the enterprise.

Today, Ryan and his team at The AI Lab are focused entirely on helping leaders turn AI ambition into sustained business value. In this conversation, we explore what Ryan is seeing right now in workforce transformation, why many organizations are stuck in “pilot mode,” and the practical steps leaders can take to build real capability, not just prove concepts.

This discussion cuts through the hype to examine where the actual opportunities are, what’s changing inside organizations, and how executives can lead the shift to a more adaptive, AI-enabled workforce.