The promise of AI in procurement has hit a stubborn wall. The promise of AI in procurement has collided with a stubborn reality: 95% of enterprise AI pilots deliver no measurable ROI, according to MIT’s 2025 State of AI in Business study, even after $30–40 billion in enterprise investmentt. Most teams are stuck in proof-of-concept,...
Most procurement teams discover the same thing the moment their first AI tool touches tail spend: it falls apart. Not because the algorithm is weak, but because tail-spend management is, at its core, a data problem the AI was never given a chance to solve. Tail spend is the long list of low-value, high-volume purchases,...
A board member asks you, six months after you awarded a $15M contract: “Why did we choose Supplier B over Supplier A?” You open the Excel evaluation. There are scores, weights and a ranking. But the logic behind them, why quality scored a 7, who decided delivery should carry 20%, what an “8 for innovation”...
Most procurement AI pilots don’t get cancelled. They just stop being mentioned in steering committees. The vendor demo looked great. The use case was defensible. Four months later, your category managers are back in their spreadsheets, and nobody writes a post-mortem. The project just goes quietly. The 2025 CPO Agenda report by the Hackett Group...
45% of CPOs rank AI-driven automation as a high strategic priority for the next 12 months. Barely one in ten has the data foundation to execute on it. That is not an enthusiasm problem. That is a structural readiness gap, and it has a specific, fixable cause that most procurement leaders are misdiagnosing. Having worked...
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