How procurement teams can become ready for AI by Zyad Khan – Associate Director of Procurement

Last Update: July 30, 2026by Divyesh Wani

Why the smartest procurement teams aren’t the ones with the best tools, they’re the ones that adapt the fastest.

AI tools are multiplying. Inflation is unpredictable. Regulations shift overnight. Supply chains break without warning. If your procurement team is exhausted from “keeping up,” you’re not alone, and more tech stack isn’t the fix.

There’s a quieter metric driving the procurement teams that do thrive through constant disruption, and it has nothing to do with software. It’s called the Adaptability Quotient (AQ), and according to procurement transformation leader Zyad Khan, it’s the real predictor of whether your AI initiatives succeed or stall.

In this article, you’ll learn what AQ is, why it matters more than strategy or tooling, the three traits of high-AQ procurement teams, and why most AI failures in procurement have nothing to do with the technology itself.

We recently sat down with Zyad Khan, Associate Director of Procurement and Contracts at Dubai World Trade Centre, a procurement transformation leader and advisor to Fortune 500 enterprises. From working with legacy systems to launching digital programs in complex global organizations, Zyad has seen one pattern repeat:

“The skill isn’t just using AI. It’s knowing when to pivot, when to pause, and when to push.”

That skill?

Adaptability.

Why Adaptability Matters Right Now in Procurement?

Procurement leaders today are managing a nonstop cycle of disruption: AI adoption, inflation, regulatory shifts, and supply volatility, all while being expected to respond faster and with fewer resources than ever before.

Having worked across legacy systems and led digital programs inside complex global organizations, Zyad has seen the same pattern play out again and again:

“The skill isn’t just using AI. It’s knowing when to pivot, when to pause, and when to push.” — Zyad Khan

As Zyad points out, change-readiness isn’t something you install with a new platform, it’s cultural. It lives in how your team thinks, not what your team uses.

And that brings us to a powerful (but rarely discussed) metric:

The Adaptability Quotient (AQ)

What is AQ and why does it matter?

The Adaptability Quotient (AQ) is a team’s capacity to adjust, absorb, and act amid constant change, how procurement professionals respond when a roadmap breaks, tools evolve, or business priorities shift overnight. Unlike IQ or technical skill, AQ can’t be built into software; it’s embedded in team mindset and culture, and it’s increasingly seen as the deciding factor in whether AI and digital transformation initiatives in procurement succeed.

In procurement, where success depends on working across suppliers, functions, and geographies, adaptability is often the silent differentiator between high-performing teams and those left behind.

“You can’t transform procurement unless your team can move with the change. not just follow it.” – Zyad Khan

3 Signs of a High-AQ Procurement Team

They Embrace Ambiguity

High-AQ teams don’t freeze when goals are unclear or specs shift mid-project. Instead, they ask sharper questions and stay solution-focused, even without a complete picture.

They Prioritize Learning Over Perfection

Whether it’s an AI pilot, a process overhaul, or supplier reclassification, these teams treat every initiative as a feedback loop, not a one-shot final draft. Iteration beats perfection.

They Scale What Works and Abandon What Doesn’t

High-AQ teams move fast, course-correct faster, and stay emotionally unattached to specific tools, templates, or legacy ways of working, even ones that used to succeed.

What does AQ have to do with AI?

Everything.

In Zyad’s words:

“Most AI failures are not tech failures. They’re failures of readiness, people, process, mindset.”

The most effective AI implementations don’t start with tools, they start with teams that are adaptable enough to test, tweak, and trust the process.

That’s why AQ is the true foundation for AI success in procurement.

🎧 Watch the full episode

Adaptability Quotient: The key to AI-led procurement success with Zyad Khan

Inside, we unpack:

  • How to lead change in legacy-heavy environments
  • How procurement teams can become transformation accelerators
  • Why culture, not software, determines success

📌 Want to go deeper into AI-led procurement?

Read AI in Procurement Guide, featuring 5 real-world applications and 10 success stories, and insights from top CPOs.

Download the guide now

Adaptability isn’t soft. It’s strategic.

Procurement is changing. Tools matter. Strategy matters. But nothing beats the power of a team that adapts, learns, and leads through uncertainty.

Let’s build those teams.

Beyond Procurement by Powerweave

We help enterprises rethink procurement and sustainability with purpose-built modular solutions like ewiz procure and Snowkap. Want to explore what this could mean for your team or where to start?

Book a free discovery call

No pitch decks, just a real conversation.

 

Frequently asked questions

AQ is a team's ability to adjust, absorb, and act effectively amid constant change, such as shifting priorities, evolving tools, or disrupted roadmaps. It reflects mindset and culture rather than technical skill.

Most AI implementation failures in procurement stem from a lack of team readiness, not flawed technology. Teams with high AQ are better equipped to test, adjust, and trust AI-driven processes, making them more likely to see successful outcomes.

IQ and technical skill measure knowledge and problem-solving ability. AQ measures how well a person or team responds to change itself, pivoting, pausing, or pushing forward when conditions shift unexpectedly.

Three key signs: they embrace ambiguity instead of freezing, they prioritize continuous learning over getting things perfect the first time, and they scale successful initiatives quickly while abandoning approaches that no longer work.

In procurement, AQ is rooted in team culture and mindset, which means it can be intentionally developed through leadership practices that reward experimentation, tolerate ambiguity, and treat setbacks as feedback rather than failure.