The moment I knew something fundamental had shifted happened in a conference room in Boston. We were running a hackathon during an on-site. No IT support. No budget. No vendor in the room. The challenge was simple: build something useful with AI tools available to anyone.
What happened next took about ten minutes — and it made twenty years of enterprise procurement technology investment feel like a very expensive detour.
A sourcing manager on my team, someone with roughly half the procurement experience of others in the room, built a working spend analytics dashboard. Not a prototype. Not a mockup. A functional tool that ingested raw purchase order data and showed our spend across categories, timeframes, managers, and cost centers — answering questions we had struggled to answer for months. She did not write code. She described what she wanted in plain language, iterated, and refined until it worked. Ten minutes.
That is the moment I knew procurement was dead. Not because AI would replace procurement professionals, but because AI had just done in ten minutes what the entire procurement technology industry had failed to deliver in twenty years.
The Lie
The lie was simple and seductive: invest in technology, adopt best practices, develop your people, and procurement will become strategic. The ecosystem aligned around this promise for two decades. Academics published the frameworks. Vendors sold the platforms. Consultants sold the implementations. Analysts published the maturity models. I participated in all of it.
At one company, I watched us purchase a system that the smartest operations mind I’d worked with knew was inadequate on day one. We implemented it anyway — because Finance wanted the integration, because the budget wouldn’t stretch further. I then spent four years designing workarounds for a system I knew was broken, and calling that procurement management.
Nearly a decade later, at a Fortune 100 company, I watched the same story play out at a completely different scale. SAP. Millions invested. The same patchwork. The same spreadsheets filling gaps the enterprise system was supposed to eliminate.
When I moved into consulting, I expected to find that other companies had figured it out. The opposite was true. Company after company, the same workarounds. Every organization thought they were the exception. They were not. The patchwork is the standard. The broken model was universal.
The Evidence Is Clear
This was not bad luck. It was a systemic failure hiding behind individual explanations.
Peter Kraljic wrote his foundational article in 1983, describing four stages of procurement sophistication and a clear end-state: procurement as a strategic function managing supplier relationships as competitive assets. Forty years later, academic research confirms that most organizations never got there. The gap between aspiration and reality has persisted so long it has become normalized.
PwC’s 2024 Global Digital Procurement Survey found that while sixty-two percent of organizations achieved expected efficiency gains from digital transformation, only thirty-one percent saw strategic value creation. Amanda Prochaska, a former senior sourcing leader at Kraft Heinz and MGM Resorts, estimates that approximately seventy percent of procurement transformations fail to achieve their intended goals.
The Pattern
The failure followed a consistent architecture across thousands of organizations over twenty years.
Phase one: enthusiasm. A platform is selected, expectations are high, everyone believes this time will be different. Phase two: implementation. Reality sets in — timelines slip, scope expands, the organization struggles to adopt new processes. Phase three: disappointment. The platform goes live. It solves some problems and creates others. The strategic value never materializes. The implementation is quietly declared a success. Phase four: the search for the next solution.
The exceptions were not evidence that the model worked. They were evidence that exceptional people can succeed despite a broken model. That is not scalable. That is not a foundation for the future.
Why AI Is Different
Previous technology waves — ERP, e-procurement, spend analytics — automated parts of procurement work while leaving core human activities intact. Humans still ran sourcing events, negotiated contracts, managed supplier relationships. Technology made them more efficient, but did not replace them.
AI is different in ways that matter structurally. The economics of building capability have collapsed. The sourcing manager in that Boston conference room did not need a vendor, an implementation partner, or a six-month timeline. She needed curiosity, a laptop, and ten minutes. The spend analytics dashboard she built became a production tool the team uses daily.
Previous technology required you to buy what already existed. AI lets you build exactly what you need. That is not an incremental change. It is a structural shift in who can compete and how.
AI can analyze contracts and extract key terms in seconds. It classifies spend data with accuracy that matches or exceeds manual review. The human role shifts from executor to director.
What This Means Monday Morning
Ask your team a direct question: if procurement disappeared tomorrow, what would the business actually miss? Not what would break operationally. But what strategic value would be lost? What capabilities would the business have to rebuild elsewhere?
If the honest answer is not much beyond transaction processing, you have confirmed the diagnosis.
The good news is that the diagnosis is the first step toward something better. The organizations that will lead in the next decade are the ones willing to stop defending the old model and start building the new one — not through another enterprise transformation program, but through the kind of rapid, practical, curiosity-driven building that turned ten minutes in a conference room into something the entire technology industry had promised for twenty years and never delivered.
Jason Cipriano is the founder of VIDONAS and the author of Procurement 4.1 and SRM 2.0.