Source: Supply Chain Dive
Date: 21st May 2026 

Supply chain leaders prioritise small-scale pilots and measurable value as AI investments expand.

Procurement leaders are increasingly embracing artificial intelligence, but many are doing so cautiously to avoid costly technology investments that fail to deliver measurable value.

Speaking at the Institute for Supply Management World 2026 conference, sourcing executives emphasised the importance of starting with clearly defined business problems, launching low-risk pilots, and scaling AI gradually based on proven results.

Industry leaders noted that AI agents are expected to play a growing role in procurement operations, particularly in supplier management, sourcing workflows, and data analysis. However, companies remain mindful of the financial and operational risks associated with overinvesting in unproven AI initiatives.

Executives from organisations including Toray Industries, The Mosaic Company, and American Airlines highlighted how they are testing AI tools in targeted areas before broader deployment.

At Toray Industries, procurement teams are piloting AI agents within sourcing workflows to evaluate supplier pallet designs and identify specification gaps during request-for-quote reviews. The initiative aims to reduce repetitive manual work while allowing procurement teams to focus on higher-value activities.

Meanwhile, procurement executives stressed that successful AI adoption depends heavily on defining clear use cases and configuring AI systems around practical operational needs rather than pursuing technology for its own sake.

As procurement functions continue digitising operations, AI is increasingly viewed as a tool to improve efficiency, accelerate workflows, and support decision-making, but not necessarily replace human expertise within sourcing and supplier management.

The growing but measured adoption of AI in procurement could create important operational implications. Procurement teams may improve sourcing efficiency and reduce repetitive administrative work. Suppliers could face increasingly data-driven and automated evaluation processes. Businesses may prioritise targeted AI investments with clearer return-on-investment expectations.

What This Means for Procurement Operations

• AI adoption is shifting toward practical, workflow-focused applications
• Companies are prioritising incremental deployment over large-scale transformation projects
• Procurement leaders are focusing on measurable business outcomes before scaling investments
• AI agents are increasingly being tested for supplier management, RFQ analysis, and workflow automation

Supply Chain & Logistics Perspective

• Procurement digitisation may accelerate supplier response times and sourcing visibility
• Better automation could improve operational efficiency across supply chains
• Businesses will likely continue balancing AI innovation with cost discipline and governance
• Human expertise remains critical for strategic sourcing, supplier relationships, and complex decision-making

This reflects how companies are increasingly seeking practical, scalable digital transformation strategies that improve efficiency while maintaining operational flexibility and cost control across global supply chains.