How organisations are combining human judgment with supply chain AI

Disruption has become a constant for global supply chains. Geopolitical instability, trade restrictions, material shortages, cyber threats, and climate disruption are pushing organisations to rethink supply chain resilience. Three-quarters of executives say their supply chains have changed significantly in recent years, while 68% plan to increase transformation spending over the next 12–18 months.

Agentic AI is becoming an important part of intelligent supply chain transformation. Yet organisations are tempering expectations of full automation, recognising that effective AI for supply chain management will depend on execution combined with human judgment, oversight, and accountability.

The report draws on a survey of 1,000 senior executives from organisations across 13 countries and four industries, complemented by qualitative insights from senior industry leaders.

How agentic AI is leading digital supply chain transformation

AI-driven supply chains are evolving

Seven in 10 organisations have dedicated transformation teams, while 65% have allocated funding to AI agents in supply chains. Resilience is a major focus, with 73% identifying it as a top priority.

Agentic AI in supply chain adoption is growing

Twenty-two percent of organisations have piloted or implemented AI agents, up from 16% in 2025. AI agents can help organisations monitor signals, assess risks, evaluate scenarios, and coordinate responses across supply chain operations.

Expectations for full automation are declining

Only 25% expect fully automated supply chains within three to five years, down from 37% in 2025. Complex autonomous decision making, regulatory requirements, uneven data quality, and exceptions continue to require contextual judgment.

Human oversight remains essential

Eighty-four percent say people must retain authority to validate AI-generated decisions, while 80% believe trust in responsible AI must be balanced with the ability to intervene. Organisations increasingly expect AI to execute workflows under human oversight rather than operate autonomously.

Resilience ambitions are running ahead of readiness

Seventy-eight percent cite geopolitical instability as a significant supply chain challenge, yet fewer than half regularly conduct a supply chain risk assessment, test dependencies, or set KPIs for reducing high-risk exposure. Visibility also often weakens beyond tier-1 suppliers.

Sustainability investment is strengthening resilience

Sixty-three percent say sustainable supply chain initiatives have improved supply chain efficiency, while 51% report an improved ability to anticipate and respond to disruption.

Six priorities for supply chain leaders

To build an AI-enabled supply chain, organisations should:

  • Build strong data and digital foundations
  • Accelerate AI-powered intelligent operations
  • Establish a semantic layer for agentic supply chains
  • Connect decisions through agentic orchestration
  • Deploy an agentic control plane for governance and monitoring
  • Manage resilience, supply chain sovereignty, and agility as continuous capabilities

This report is particularly relevant for supply chain leaders across aerospace and defense, consumer products, industrial manufacturing, and life sciences when planning an agentic AI strategy. It explores what is needed to combine agentic AI with human oversight to strengthen decision-making, resilience, and agility across increasingly complex AI-powered supply chain ecosystems.