Digital Twins and Agentic Artificial Intelligence (AI) are fundamentally changing how enterprise information systems are designed and managed. This new paradigm empowers business users with intuitive, no-code tools and large language models, driving self-service analytics and enabling rapid, iterative decision-making. This shifts enterprises from reactive to proactive management, with profound implications for supply chain management, where traditional systems often lack the real-time adaptability and predictive insights needed in dynamic global markets.

Digital twins create data-driven, real-time representations of supply chains, allowing for continuous monitoring, scenario simulation, and performance evaluation. Building on this foundation, Agentic AI introduces autonomy, enabling AI agents to interpret insights, reason over alternatives, negotiate trade-offs, and coordinate actions across organizational silos, often by orchestrating existing software tools. This moves beyond mere data extraction to active interpretation driven by embedded business logic.

This presentation exemplifies the transformation with end-to-end supply chain digital twin and Agentic AI assistant, FordSupplyAssist, it is not just an incremental upgrade; it's a fundamental paradigm shift, transforming enterprise systems from reactive to proactive, self-optimizing entities. An ML based Delivery Risk Model identifies high-risk suppliers by correlating indicators production loss and extra cost,  achieving significantly greater accuracy than previous methods. FordSupplyAssist orchestrates specialized Delivery Risk AI Agents to enhance supplier triage, proactively engage with suppliers, and optimize recovery. This system integrates subject matter expert knowledge with Ford's digital twin, fostering direct business partner participation through prompt engineering and self-service insights, which significantly streamlines the way analytics / IT groups work with business - decreasing development cycles 10 fold, challenging traditional thinking and process about operational resilience as well as strategic advantage, particularly in supply chain management.