Share your thoughts with usWhile 75% of enterprises use AI in core operations, fewer than 20% have proper management protocols, costing companies millions in lost opportunity and inefficiency. We expose why the "deploy-and-forget" approach to AI is leadership malpractice and share frameworks for managing AI systems effectively.Managing AI requires treating it like a team member, not just a toolThe Seattle Mariners' briefing story demonstrates how AI needs guidance and feedbackDifferent types of AI deployments require varying levels of management oversightTraditional "hours saved" metrics are insufficient for measuring AI's true impactOrganizations should track management-focused and strategic transformation indicators 78% of enterprises are now using third-party AI apps rather than building them in-houseCompanies empowering frontline AI experimentation outperform top-down strategies by 200%Schedule your first AI performance review. For those more advanced, audit one AI workflow and ask where you're trusting instead of verifying, then fix it. Find more resources at AI4SP.org. 🎙️ All our past episodes 📊 All published insights | This podcast features AI-generated voices. All content is proprietary to AI4SP, based on over 250 million data points collected from 70 countries.AI4SP: Create, use, and support AI that works for all.© 2023-25 AI4SP and LLY Group - All rights reserved

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