Globality: How is Agentic AI Transforming Supply Chains?
Supply chain operations have never had access to more technology, more data or greater visibility across their networks. Yet many organisations continue to grapple with slow cycle times, fragmented workflows, inconsistent compliance and hidden value leakage. The challenge is now about coordination.
AI in supply chain management has been primarily analytical. It has successfully identified efficiency opportunities, highlighted operational risks and generated performance dashboards. Yet, despite these capabilities, most AI systems have remained passive: they inform, but humans must act.
Agentic AI introduces a fundamental shift in this paradigm. Rather than offering suggestions in isolation, AI agents take on defined responsibilities. These systems sense context, apply logic, execute specific actions and intelligently escalate exceptions only when required.
At Procurement & Supply Chain LIVE: The US Summit, a focused workshop with Globality will explore how agentic AI is transforming supply chain processes from reactive tasks to autonomous decision-making. This workshop offers a forward-looking perspective on AI's capabilities and practical applications, helping people to identify opportunities to drive efficiency, reduce risk and unlock strategic value.
The State of Agentic AI in Procurement
- Date: April 21, 2026
- Time: 10:30am ET
- Location: Room 2
The state of agentic AI in procurement
Modern supply chain operations span demand planning, inventory management, logistics coordination, supplier collaboration, risk management and order fulfilment. Each step may be supported by capable software, but those systems often operate independently. Work moves from one team to another through manual validation, email escalation and policy checks that are layered on top of the process rather than embedded within it.
This fragmentation creates friction at every stage. Reviews take days when they should take minutes. Compliance becomes reactive instead of preventative. Valuable insights sit unused because no system is responsible for acting on them.
Supply chain teams spend too much time verifying transactions and not enough time shaping strategy. The emerging use of agentic AI calls for an evolution of supply chain teams and functions to address these challenges.
Fragmented workflows
Supply chain is a driver of resilience and business growth as opposed to a source of cost management. Despite this deeper appreciation, teams are still struggling to adapt to demand. Supply chain leaders are now having to predict external and internal volatility, tracking disruptions from their minor starting point in order to preempt action and respond to major events.
There is an increasing gap between goals and execution, with teams facing delays from administration workloads, fragmented data points and slow coordination. Planning and execution are changing, as supplier organisations are adopting AI across their own processes.
According to McKinsey & Company's research on procurement analytics and automation, today's procurement functions use less than 20% of available data to support decision-making. As a result, organisations must evolve their approach to unlock the full potential of their supply chain operations.
The next evolution of supply chain operations is not about adding more tools or incremental automation, but about redesigning how supply chains operate through orchestration powered by agentic AI. Instead of automating isolated tasks, orchestration coordinates the entire lifecycle. Instead of providing recommendations alone, intelligent agents execute defined responsibilities under human governance.
Agentic AI augments professionals
McKinsey & Company's analysis of generative AI in procurement, agentic AI is revolutionising supply chain functions, enabling teams to move beyond traditional analytical tools towards autonomous systems that deliver recommendations and execute tasks.
The shift is structural. It changes how decisions are made, how policies are enforced and how work flows across systems and teams. The central trend is straightforward: supply chain operations become faster, more compliant and more strategic when execution is orchestrated rather than fragmented.
The organisations that recognise this inflection point will redefine supply chain's role in enterprise performance.
Attendees to the workshop will discover how agentic AI transforms supply chain operations, boosting efficiency, reducing risk and enabling autonomous, strategic decision-making.
Agentic AI does not replace supply chain professionals. It augments them. It executes structured work at scale, surfaces exceptions intelligently and ensures that governance and agility coexist.
The future of supply chain operations is not defined by more dashboards or isolated automation scripts. It is defined by intelligent orchestration across people, systems and decisions. Organisations that embrace this model will not just operate faster.
They will operate with greater clarity, control and confidence in an increasingly complex world.
