From Pilots to Performance: How Procurement Leaders Are Scaling AI

Published: 
September 26, 2025

Half of procurement teams are already using AI, and the majority of the rest plan to follow within the next year. With 73% of CPOs expecting AI to have a transformational or significant impact, the question is no longer if AI will reshape procurement, but how fast and how well organizations will adapt. 

This surge in adoption reflects not just curiosity, but a strategic shift: AI is moving from pilot projects into core procurement workflows, where it is poised to redefine productivity, decision-making, and supplier engagement at scale.

The Accelerating Wave of AI Adoption

Instead of asking whether AI will play a role in procurement, the real question is how quickly organizations can capture its advantages. Today, 50% of procurement teams are already using AI, with adoption projected to climb to 80% in the near term. More important than the numbers are the implications: embedded AI within Source‑to‑Pay (S2P) platforms is changing the way procurement operates. 

By embedding intelligence directly into day‑to‑day processes, organizations are enabling teams to make faster decisions, expand their influence across the enterprise, and deliver value with greater consistency. The acceleration signals that AI has crossed the threshold from "nice‑to‑have" to essential, as companies that delay adoption risk falling behind peers who are rapidly building competitive advantage through digital intelligence.

Expectations That Fuel the AI Sprint: A New Engine for Change

CPOs expect more from AI than they've ever demanded from prior tech waves. A striking 73% of CPOs foresee AI delivering either transformational (23%) or significant (50%) impact. These expectations are powering the urgency behind AI adoption, creating a climate where incremental improvements are no longer enough. 

Leaders are envisioning a step‑change in how procurement operates, from faster cycle times and smarter supplier insights to more resilient supply chains built on predictive analytics. In this way, AI is viewed not simply as another layer of automation, but as the engine that can redefine procurement’s role in driving enterprise value and competitive advantage.

Where AI Is Already Delivering Real Value

The practical impact of AI is beginning to take shape, with clear improvements already visible across procurement operations. What was once speculative is now being applied in tangible ways that directly improve performance. 

These early use cases illustrate how AI can take on repetitive work, accelerate complex processes, and unlock new insights that were previously out of reach:

  • Chatbots enhance end-user engagement and drive efficiency by guiding employees through requests, purchases, and policy questions with intuitive, conversational support.
  • Contract analysis accelerates reviews, surfacing critical terms and risks while helping teams reduce bottlenecks and avoid compliance pitfalls.
  • Supplier discovery expands sourcing options and diversifies supply bases, making it easier to identify innovative or underutilized suppliers in competitive categories.
  • Spend analysis provides granular insights for smarter, more strategic decision-making, enabling CPOs to pinpoint savings opportunities and build stronger business cases for action.

What’s Driving AI Take‑Up? Desired Outcomes

Procurement teams are targeting outcomes that align tightly with KPIs. These benchmarks reveal not only what leaders are hoping to achieve with AI, but also how they are measuring progress and success. 

By understanding these drivers, CPOs can align adoption initiatives with tangible business value and ensure they are tracking against the right outcomes:

The Obstacle Course: Barriers to Scaling AI

Despite high expectations and growing adoption, organizations face persistent challenges that can slow or stall progress if left unaddressed. 

These are not minor hurdles, they are systemic issues that require deliberate strategies to overcome:

  • Budget constraints, which limit the ability to pilot and scale new solutions.
  • Data quality and accessibility issues, often stemming from legacy systems or fragmented processes, that prevent AI from reaching its full potential.
  • Skills gaps, as procurement teams may lack the technical expertise to implement and manage AI effectively.
  • Disjointed systems, which create integration headaches and undermine the seamless flow of information needed for AI to thrive.

Leading procurement organizations mitigate these by investing in data readiness, technology integration, and talent upskilling, building a strong foundation to support AI scale-up.

From Pilots to Enterprise‑Wide Performance: Your AI Benchmark Checklist

For CPOs wondering where their organization stands, and what to do next, here’s a brief self‑assessment framework:

  1. Current State: Is AI embedded in your S2P workflows?
  2. Use Case Execution: Are you using AI for high-impact purposes (e.g., spend analysis, contract review, supplier discovery)?
  3. Barrier Mitigation: Do you have strategies in place for addressing budget, data, people, and systems challenges?
  4. Outcome Alignment: Are your AI goals clearly tied to productivity, savings, decision quality, and stakeholder satisfaction?

If you’re trailing market benchmarks, start by prioritizing use cases that offer both readiness and impact. Then scale across the enterprise with infrastructure, governance, and talent.

Leading the AI-Driven Procurement Evolution

The leaders are already pulling ahead by embedding AI into everyday workflows, aligning it with KPIs, and investing in the data and talent that make implementation sustainable. AI is no longer a pilot or experiment; it is becoming the accelerant for modern procurement.

Waiting isn’t an option. The gap between leaders and laggards is widening, and the decisions CPOs make today will determine how competitive their organizations are in the years to come. 

Those that act decisively will build procurement functions that are more agile, data‑driven, and strategically influential than ever before. But progress does not have to be perfect or all‑at‑once, small steps toward adoption are far better than standing still. Even modest pilots can generate early wins, build confidence, and create momentum for broader transformation. 

Scale AI with intention, and your procurement team can lead not just the next wave of enterprise transformation, but the long‑term evolution of how businesses compete and grow.