Design Processes to Evolve with Emerging Technology

Intelligent technology is allowing organizations to move from episodic transformation to continuous evolution by shrinking the coordination and experimentation costs that once made change slow and risky. Three capabilities underpin this shift: real time visibility into how work actually happens, digital twins that enable rapid experimentation without disrupting operations, and agentic AI systems that execute and adapt workflows. High-fidelity operational models replace simplified assumptions, giving leaders an accurate picture of current processes. Digital twins extend this visibility into a learning environment where new workflows, materials, and layouts can be tested at low risk, compressing validation cycles and increasing experimentation. Autonomous agents then handle execution tasks that require perception, prediction, and judgment, reducing coordination friction and allowing redesigned processes to operate with greater adaptability. Humans remain central as stewards of ethics, creativity, and strategic direction. The outcome is an operating model designed for perpetual reinvention.