Transformation has long been used to justify enterprise technology change, from ERP to cloud to digital, and now to agentic AI. Agentic AI is positioned as systems that reason, plan, and act autonomously, executing workflows and making decisions without human input. In the 1990s, ERP vendors promised integrated single systems that would eliminate inefficiency and improve performance, but many implementations fell short due to complexity, accumulated customization, and supplier dependency. Current agentic AI adoption faces similar trade-offs, including reliance on the same IT providers and lingering consequences of earlier decisions. Gartner predicts rapid integration of enterprise applications with AI agents and also estimates that over 40% of agentic AI projects will be cancelled by the end of 2027 due to costs, unclear value, and insufficient risk controls.
"Transformation is the word IT providers reach for when they want to make standing still feel dangerous. It's a word which has done reliable service across decades of enterprise technology - through ERP, through cloud, through digital. And it is doing the same work again now, albeit attached to a new proposition: agentic AI."
"Agentic AI promises systems that don't just process information but reason, plan and act - autonomously executing complex workflows, making decisions without human input, and fundamentally redesigning how organisations operate. Analyst Gartner predicts that 40% of enterprise applications will be integrated with task-specific AI agents by the end of 2026, up from less than 5% today."
"For many organisations, the ERP promise of the 1990s and 2000s never fully materialised - not because the technology was bad but because the complexity of implementation, the weight of accumulated customisation, and the commercial dynamics of IT supplier dependency turned transformation into something considerably more complicated."
"Gartner also estimates that over 40% of agentic AI projects will be cancelled by the end of 2027, due to escalating costs, unclear business value, or inadequate risk controls. Enterprises have been here before. Will they remember it clearly e"
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