Organisations are investing heavily in AI. Many are not harvesting the return. Tom Sciculna, CRO at xAmplify, and Ian Kreiger, Futures Director at ServiceNow, examine the execution gap showing up across enterprises: proof of concepts that succeed in isolation but never scale into production. The pressure to invest in AI is real. Boards and buyers feel it. But the harder questions, why do we need it, what will we use it for, and how will we measure success, are not always answered before the spending begins. Tom explains the pattern: a narrow use case delivers results, momentum stalls, and the underlying foundation needed to scale across the enterprise never gets built. Efficiency gains shift from one bottleneck to the next rather than generating enterprise-wide value. The fix is not less ambition. It is a more structured, more organically focused approach to foundational capability. That is what separates organisations with one successful pilot from those with sustained, measurable ROI. What you will learn: Why AI pilots succeed in narrow use cases but stall before enterprise scale How shifting bottlenecks between business units erodes ROI What organisational stamina actually means in an AI investment context Why foundations must be right before scale becomes possible Explore the insights behind this conversation: Enterprise AI Maturity Index Australia https://www.servicenow.com/au/standard/resource-center/white-paper/wp-enterprise-ai-maturity-index-2026-au.html

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