_______________________________________________________________________________________________________
Agentic
AI to be feasible, consistency between runs, or any dependable sense of when they are wrong. The workable architecture is therefore layered rather than unified: specialist forecasting, optimization and simulation for mathematical depth, agents for reach and context, and orchestration to carry an approved decision out to the systems, suppliers and teams that have to act on it.
What is worth measuring
These are capital decisions wearing operational clothing, since forecast error surfaces as service, realized price feeds return on sales and stock is working capital. Which is why the number of agents deployed will be a poor measure of progress. The better questions are how quickly a structural shift in demand becomes a changed plan, how much of that happens without waiting in a queue, and how often a planner still overrides the system, and when they do, whether anyone can see which rule the agent relied on. The question for a manufacturing leader is not whether the mathematics is good enough, it is how much of what the business already knows has been written down, and how quickly any of it can be changed when the network moves again. ■
Will Dutton www. uipath. com
Will Dutton is Supply Chain Solutions Director at UiPath, a leader in business orchestration and automation. It is trusted by organizations worldwide to transform enterprise complexity into intelligent, secure operations where AI agents reason, robots act, and people lead. Built for the modern enterprise and the world’ s most regulated industries, UiPath integrates automation, orchestration, AI, and testing into governed, scalable workflows- unlocking innovation at the speed of business while delivering the controls and compliance enterprise leaders’ demand.
manufacturing-today. com 35