Procurement sits at the centre of every major business decision, yet the people who run it often have the least control over their time. As Tom Wolfe captured so vividly in The Right Stuff, the first astronauts feared above all else being reduced to “Spam in a Can”: strapped into a capsule designed by others, along for the ride rather than commanding the mission. For too many procurement professionals, that phrase has often felt apt.
AI comes with the promise of fundamentally reshaping procurement from a manual, reactive process to a highly strategic business driver. But this can only happen if alongside the technology, the mindset and the way procurement works is changing too.
Based on our work with some of the world’s leading G2000 enterprises, we have devised a practical three-staged AI Maturity Model that serves as a blueprint to support this change without necessitating additional headcount or increasing procurement workloads.
Stage 1 – Create Space
The first stage of this AI Maturity Model begins with a fundamental constraint: capacity. Every procurement function is busy. There is always more to do than teams can realistically deliver, and in many organizations workload continues to grow without a proportional increase in resources. If procurement is to fully assume a strategic role, it must first create space. That does not require reinventing everything. It starts with a pragmatic question: how can the existing pipeline and workload be managed in a smarter, more automated way?
This is where AI has already produced tangible results. Organizations applying AI to sourcing processes report significant speed gains. In pharmaceuticals, RFX cycle times have dropped from months to days. In retail, individual procurement professionals are running up to 50 strategic sourcing events annually – translating at scale to seven or eight times previous volumes. In centralized buying desk models, particularly for tail spend, AI-assisted users manage more than 1,000 events each.
Stage one is about practical acceleration: document generation, scoping, supplier discovery, and analysis. These activities can be materially enhanced through effective AI application. The objective is straightforward: create capacity. By freeing time and resources, procurement teams can rethink how they operate and position themselves to capture the broader potential of AI and technology.
Stage 2 – Do Things Differently
Stage two is where it becomes genuinely interesting. Once space has been created, procurement can start thinking differently – about category strategy, sourcing strategy, and how it creates value for the business. If stage one is about doing the same work faster, stage two is about doing things differently.
Organizations are gaining far better visibility into total spend, providing a stronger basis for prioritization. A critical shift toward becoming more proactive and strategic is ensuring procurement focuses on the right things. Too often, teams have operated reactively, responding to the loudest stakeholder or most urgent request – not necessarily where the greatest value lies. Creating space to understand the full spend portfolio, and layering AI-driven intelligence on top, enables procurement to identify where it can have the most impact.
Another pattern in stage two is going deeper across a broader range of spend. Complex sourcing optimization is becoming increasingly democratized, no longer dependent on what amounts to PhD-level analytical expertise. Sophisticated sourcing approaches are now accessible across many more categories without materially increasing headcount.
A significant driver of ROI lies in how sourcing events are executed. One organization shifted its services-buying model from a traditional approach to competing every project at a fixed price, systematically tendering work and applying market economics to nearly every dollar spent. By its own estimate, this would have required 40 additional hires without technology. Instead, technology enabled a fundamental strategic shift, delivering roughly 20% savings.
Stage 3 – Command the Mission
Stage three is the most transformative phase for procurement. One in which procurement becomes proactive, operating alongside the business as a planning partner, thinking deliberately about what is needed, how it should be bought, and where it should be sourced.
No other function has the same potential visibility into how a business truly operates, what drives performance and what underpins success. Procurement occupies that unique position, creating real potential to act as a driver of growth.
We are already seeing organizations where procurement functions operate as internal solution providers. Their role extends well beyond placing contracts. It centres on understanding business objectives, defining acceptable risk, and shaping outcomes.
Building on stage two, where granular cost and pricing data is captured, platforms now enable near real-time margin monitoring. At that point, a procurement AI agent begins to resemble a Chief of Staff to the CEO. Leadership questions around profitability, margin pressure, competitive threats, and portfolio shifts become embedded within procurement data and tools. This represents a fundamental repositioning. Procurement moves from a largely downstream service operator to a function that houses critical business intelligence, informing top-line growth decisions and delivering real-time insights and advice.
Beyond the mere technology, the AI Maturity model helps procurement to turn from “Spam in a Can” to commander of the mission. I think this is the real utopia for everyone who has worked in procurement: to be an exciting, genuine problem solver for the business.
