The Assembled Stack: Why 94% of Enterprise AI Stalls (and How the 6% Win)

<p>Unlock the secrets of the &quot;6% club&quot;—the elite high-performers who have successfully converted AI investment into measurable <strong>EBIT impact</strong>. While 88% of organizations have adopted AI, the vast majority remain trapped in the &quot;copilot layer,&quot; failing to move past surface-level productivity.</p><p>In this episode, we dive into <strong>The Assembled Stack</strong>, a research-backed framework for <strong>Enterprise AI Transformation</strong>. We explore why generic tools create a &quot;learning gap&quot; and why true transformation requires a <strong>full-stack architecture</strong>: a robust <strong>grounding layer</strong> (ontologies and digital twins), <strong>agentic applications</strong> with write access, and a fundamental <strong>workflow redesign</strong>.</p><p><strong>Key topics include:</strong></p><ul><li><strong>The Elimination Test:</strong> Why real AI transformation isn&#39;t about doing tasks faster—it’s about making process artifacts, like the monthly forecast cycle, disappear entirely.</li><li><strong>Architecting for ROI:</strong> How to avoid the 40% of agentic AI projects forecasted to fail due to unclear ROI and missing risk controls.</li><li><strong>The Vendor Moat:</strong> Analyzing how <strong>Microsoft, SAP, Salesforce, and Palantir</strong> are competing for the orchestration layer and what it means for your data-access policy.</li><li><strong>Industry Benchmarks:</strong> Insights from <strong>JPMorgan, Walmart, and Siemens</strong> on deploying AI in high-exception environments like supply chain and back-office operations.</li></ul><p>Whether you are an <strong>Enterprise Architect</strong>, a digital transformation leader, or a C-suite executive, learn how to invert the build order—putting the grounding layer first—to ensure your AI initiatives deliver enterprise-level financial impact.</p>