The Three Human Skills That Make AI Work in Procurement

The next era of procurement belongs to organizations that build talent capable of translating intelligence into outcomes.

Key Highlights

  • The leaders in procurement AI develop talent are able to translate data into sound judgment.
  • Values-based judgment—the ability to interpret and apply ethics, assess risk and prioritize needs across the company—is essential.
  • Teams must be able to translate AI insights into compelling narratives that resonate with leadership.
  • The right procurement talent shapes strategy, identifies new potential suppliers and innovates on cost vs. resilience.

Artificial intelligence is reshaping procurement faster than most organizations have anticipated. Automation is accelerating, insights are more immediate and data is no longer something teams “pull”—it now appears at their fingertips.

But there’s a widening gap between procurement teams that simply deploy AI and those who know how to wield it strategically. The difference isn’t in the technology itself; it’s whether procurement teams can apply this intelligence to move the business forward with clarity, confidence and speed.

The next era of procurement belongs to organizations that build talent capable of translating intelligence into outcomes. Three capabilities, in particular, are becoming essential.  

1. Values-based judgment 

The rise of agentic AI does not eliminate the need for human judgment; it elevates it. As AI systems take on more autonomous decision-making, procurement professionals will shift from manual, repetitive tasks to ensuring AI-driven outputs align with priorities, risks and ethical standards.

Values-based judgment is the capability to interpret and apply ethics, risk appetite and organizational priorities within AI-driven processes. It determines how tradeoffs are evaluated—which outcomes are unacceptable regardless of efficiency—and introduces nuanced context. This skill is essential not only for those designing enterprise-wide governance frameworks, but for every procurement professional using AI in their work.

Consider how this plays out in practice. When a category manager evaluates suppliers, agentic AI can assess financial stability, delivery performance, compliance records and contract terms across multiple scenarios with impressive precision. But when the most cost-effective supplier relies on questionable labor practices, creates the largest carbon impact or works with competitors, values-based judgment determines whether that option should be deprioritized, escalated or excluded entirely. That judgment call requires deep knowledge of the category’s risk profile, regional regulations and stakeholder expectations, which is context that procurement professionals are uniquely positioned to provide.

This is why values-based judgment must be actively cultivated. As procurement teams work alongside AI, this capability ensures technology serves purpose as much as performance. The most successful team members will be those who can clearly articulate priorities and translate them into guidance that allows AI to move fast—without losing sight of what matters most. 

2. Strategic influence 

As AI takes on an increasing share of the transactional workload, procurement’s strategic value becomes more visible and more dependent on influence. AI-generated insight alone does not drive outcomes; people do.

This is both a communication challenge and a leadership expectation. Procurement teams must be able to translate complex insights into clear, credible narratives that resonate with supply chain, operations and finance leaders in a way that earns alignment and enables action. And they must do so while navigating tradeoffs that rarely have straightforward answers:

  • Lower cost vs. higher resilience
  • Faster growth vs. stronger compliance
  • Operational efficiency vs. environmental impact

For example, when AI flags a supply chain vulnerability that requires switching to a higher-cost supplier, procurement must make the case to finance and operations, framing the decision as a risk mitigation investment, not just a cost increase. That requires credibility built over time, not just data.

Leaders need to accelerate innovation, mitigate enterprise risk, support sustainability commitments and strengthen supplier partnerships—all while managing spend in a volatile environment. AI will never replace the trust and credibility required to drive these decisions across the organization.

Influence matters more than ever. Teams that communicate with clarity, build trusted relationships and lead cross-functional conversations will shape key decisions and ensure that AI insights translate into measurable business impact.

3. Creativity and exploration

As AI takes on more analytical and operational tasks, procurement professionals gain time back. How they use that time matters. Those who invest it in exploring new possibilities, rather than simply moving faster through existing processes, will outperform those who don’t.

An Economist Impact study sponsored by SAP found that procurement’s mandate continues to expand, with sustainability, geopolitical risk, digital transformation, supplier innovation and cost discipline all competing for attention. These pressures cannot be resolved through optimization alone. They require fresh thinking and a willingness to revisit assumptions that have guided decisions for years.

Creativity in procurement takes practical forms. It shows up in reimagining category strategies, identifying non-obvious supplier partnerships and finding new ways to navigate tradeoffs between cost and resilience. Over 90% of executives in the study reported benefits from increased supplier collaboration, with supplier innovation cited as a leading outcome.

That innovation stems from human curiosity and relationship-building—not from AI.

Teams that reinvest efficiency gains into exploration—testing ideas, learning from other industries, questioning established approaches—will find new sources of value that optimization alone would miss.

Building the Right Skill Mix 

These three capabilities were not always central to procurement upskilling. Today, they are foundational. 

The encouraging news is that these skills are transferable. Intellectual curiosity, systems thinking and continuous learning matter more than deep technical specialization. As AI levels the playing field for access to insight and analysis, differentiation will come from people who can interpret complexity, connect dots across domains and guide organizations through uncertainty. 

For procurement leaders, adopting AI must go hand-in-hand with deliberate investment in these human capabilities. Technology investment without investment in people creates an imbalance. AI enhances human judgment, rather than replacing it. 

Technology will continue to evolve. But the longer-term success of procurement will depend on the skills and leadership mindset that enable teams to turn intelligence into advantage. 

About the Author

Etosha Thurman

Etosha Thurman

CMO, Finance and Spend Management, SAP

Etosha Thurman has spent her career transforming businesses, leading high-performing teams and championing customer success in the software, financial services and procurement industries.

Before SAP, Etosha led transformative sales and client engagement strategies at Capital One, ensuring impactful customer experiences. She has also held key leadership roles at SAP Ariba, where she shaped the future of cloud commerce and global procurement solutions.

Sign up for our eNewsletters
Get the latest news and updates

Voice Your Opinion!

To join the conversation, and become an exclusive member of IndustryWeek, create an account today!