Procurement AI Adoption Lagging Despite High Ambitions — Ivalua Inc.

Event summary

87% of procurement teams remain bogged down by tactical workloads despite 90% having high AI ambitions.
67% of organizations are not ready to scale AI due to poor data quality and governance issues.
23% of organizations have successfully scaled AI in procurement operations.
59% cite poor data quality, structure, or availability as the main hurdle to AI adoption.
80% plan to deploy agentic AI capabilities within the next three years.

The big picture

The research highlights a critical gap between AI ambition and execution in procurement. While most organizations recognize AI's potential as a productivity enabler, fragmented data systems and underdeveloped governance frameworks are preventing scalable adoption. Successful early adopters focus on solid data foundations, embedded workflows, and trusted governance to unlock strategic capacity and competitive advantage.

What we're watching

Data Foundations: Whether organizations can overcome data quality and integration challenges to enable scalable AI adoption.
Governance Frameworks: The pace at which procurement teams establish robust governance frameworks to mitigate risks like black box AI and data hallucinations.
Strategic Deployment: How procurement leaders balance the pressure to move quickly with AI against the need for a strategic, unified architecture approach.