Shifts in how operations work: –Real-time simulation continuously adjusts energy consumption, material use and production parameters to achieve the same output with lower resource intensity. –AI continuously ingests signals across demand, supply, labour, inventory and asset availability to adjust schedules, logistics levels and workflows as conditions change. –AI dynamically adjusts production and logistics based on real-time signals, constraints and upstream disruptions. –Live sensing improves both speed and decision quality, reducing reaction lag. –Coordination shifts from handoffs and escalation meetings to shared, AI-mediated execution logic with human approval thresholds.Organizational changes observed: –Planning teams increasingly focus on static schedule generators, decision supervision and guardrail settings. –Cross-functional coordination deepens across planning, operations and logistics. –Accountability is expected to be traceable across human and AI decisions. –Success metrics expand beyond plan adherence to flow stability and responsiveness. Early vs advanced adopters: –Early: AI generates plan alternatives and bottleneck insights for manual execution. –Advanced: Multi-agent orchestration autonomously coordinates scheduling, inventoryrebalancing and work assignments across sites and networks within defined operational constraints.2.3 From forecast-driven planning to real-time sensing CASE STUDY 8 AI-orchestrated supply chains at scale Lenovo embedded an AI agent, iChain, at the core of its global supply chain to continuously monitor demand, supplier constraints and transport flows. The agent predicts disruptions and dynamically re-optimizes shipments, coordinating across manufacturing, inventory and logistics in real time. This shift improved shipment accuracy by 30%, increased delivery predictability and sustainability at scale. Organizational Transformation in the Age of AI: How Organizations Maximize AI’s Potential 17

Organizational Transformation in the Age of AI How Organizations Maximize AI%27s Potential 2026