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

Page 14 of 43 · WEF_Organizational_Transformation_in_the_Age_of_AI_How_Organizations_Maximize_AI%27s_Potential_2026.pdf

FIGURE 2 Four operating model shifts in operations and supply chain 1From manual coordination... Physical and embodied AI are embedded into production, monitoring and routine coordination. Humans continue to perform core operational work, exercising supervision, judgement, approvals and intervention in complex, safety-critical or novel situations.to human-AI coordination and AI-orchestrated execution 2 AI augments planners by continuously sensing demand, supply and operational signals and proposing updates, while humans remain responsible for setting priorities, resolving trade-offs and approving changes. 3From reactive fixes... Disruptions are anticipated and mitigated early through real-time signals and predefined responses. Humans oversee exceptions, refine playbooks and intervene when situations exceed expected bounds.to pre-emptive resilience 4From one-speed execution... AI systems learn from execution data and frontline expertise to refine models, codify operator insight and propagate improvements across the network. Humans interpret insights, validate learning and decide how improvements are applied across sites and teams.to outcome-driven, continuous network-wide improvementFrom forecast-driven planning... to real-time sensing Organizational Transformation in the Age of AI: How Organizations Maximize AI’s Potential 14
Ask AI what this page says about a topic: