AI knowledge transfer is quickly becoming the difference between companies that scale and companies that stall. As employees retire, transition roles, or leave organizations entirely, critical institutional knowledge often disappears with them. In this episode, we explore how AI knowledge transfer can help businesses retain, enhance, and operationalize what their teams know before it’s gone.

Lee Dixon and Rich Swier unpack why undocumented workflows, tribal knowledge, and fragmented documentation create massive hidden risk. They explain how AI knowledge transfer allows organizations to centralize internal intelligence, capture intuitive expertise from employees, and continuously evolve SOPs in real time. This isn’t about replacing people it’s about creating a collective intelligence that benefits employees, leadership, and customers alike.

Throughout the conversation, you’ll hear practical examples of how AI knowledge transfer supports onboarding, training, operational optimization, and even product and customer experience improvements. The episode also highlights why AI can outperform traditional consulting models by analyzing real employee feedback at scale and turning insights into actionable improvements.

If you’re thinking about how to future-proof your business, improve operational efficiency, or gain a competitive advantage, AI knowledge transfer should already be on your roadmap. This episode explains why now is the time to invest and what happens if you wait.

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