The Teaser

Setting The Table

Your organization has spent real money on AI. The licenses are paid for. The training sessions have happened. There's probably a Slack channel called something like "AI Innovation." And almost nobody is actually using it. This episode is a diagnosis — and a fix. Most organizations default to one of two approaches: hand it to IT, or hand it to HR. Both make complete sense. Both fail in predictable, expensive ways. And handing it back and forth between them just means it takes longer to land in the same place. In this solo episode, I walk through exactly why each approach falls short, what the hybrid handoff actually costs, and what the right structure looks like — including a role most organizations don't have yet but need, a council built around the wrong people for the wrong reasons, and a simple cultural shift that determines whether any of it compounds or quietly dies. This isn't a vendor pitch. It's a framework. And the organizations getting real ROI from AI right now are the ones who got the approach right first. What you'll take away: Why the IT-led approach produces tools nobody uses at scale. Why the L&D model is fundamentally incompatible with how fast AI moves. What a Chief AI Enablement Officer actually does — and why it's not the same as a Chief AI Officer. How to build the top-down and bottom-up system that makes adoption stick. If you've been watching the same adoption cycle repeat and wondering what you're missing — this episode is for you. Praxis Enablement [https://www.praxisenablement.com/]

The Teaser

The Enablement Imperative podcast focuses on the practical aspects of implementing change within organizations, particularly in the context of AI adoption. Ryan Richardson, the host, shares his experiences and insights from enabling employees to effectively use tools and technology. The podcast aims to provide actionable tactics and real-world stories to help leaders navigate the challenges of change management and AI implementation. Takeaways * Practical enablement is crucial for successful AI adoption * The human aspect of technology adoption is often overlooked