AI project stalled? Blame your outdated, fragmented workflow - and redesign it now (www.zdnet.com)

A recent analysis underscores the pressing need for organizations to evolve their workflows to fully leverage AI technologies, marking a significant shift toward reshaping operational frameworks in response to complex market dynamics. The article highlights that many companies are still reliant on outdated operational models that depend on manual coordination and sequential handoffs, which inadequately support the rapid decision-making required in today's unpredictable environments. The rise of agentic AI, capable of reasoning and acting autonomously across workflows, demands that organizations transition from traditional 'Systems of Record' to 'Systems of Agency' that integrate data and context for enhanced coordination. This transformation is crucial for the AI/ML community, as it emphasizes that the true challenge lies not in the algorithms but in aligning organizational design with modern digital capabilities. By redesigning workflows, businesses can reduce inefficiencies and make better use of AI's potential, ultimately creating a seamless integration where intelligence can operate effectively rather than being bogged down by fragmented systems. As the manufacturing sector embraces this Cognitive Industrial Revolution, the focus must shift towards developing a robust structural framework that supports quick adaptation to market changes, empowering AI systems to drive meaningful autonomy and organizational agility.