AI knowledge transfer is becoming one of the most critical business priorities as companies face employee turnover, retirements, and rapidly evolving technology stacks. In this episode, Lee Dixon and Rich Swier break down why institutional knowledge loss is one of the biggest hidden risks businesses will face in 2026 and beyond.

They explore how AI can capture tribal knowledge that's never been written down, centralize fragmented documentation, and transform scattered insights into a living, evolving intelligence layer for your organization. From onboarding and training to process optimization and employee feedback loops, this conversation highlights why companies that fail to operationalize their knowledge will fall behind.

If your business relies on people-driven expertise, legacy systems, or undocumented workflows, this episode will help you understand how AI-driven knowledge agents can protect, enhance, and scale what your organization knows before it walks out the door.

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