In today’s world of constant disruption, supply chain leaders can no longer afford to rely on manual processes and reactive strategies. Labor strikes, cyberattacks, factory fires, and geopolitical tensions are increasingly frequent—and increasingly complex. During Resilinc’s recent webinar, supply chain veterans and AI innovators came together to discuss a turning point for the industry: how Agentic AI is revolutionizing supply chain risk management and resiliency.
“We were always reacting”: Lessons from the front lines
For Bill Hurles, former global head of supply chain at General Motors, the 2011 Japan earthquake was a defining moment. Despite having visibility into Tier-1 suppliers, GM had no clear picture of how deeply the crisis impacted its Tier-2 and Tier-3 supply base. What followed was a four-month scramble involving teams of people working around the clock in traditional war room settings—just to determine which parts were at risk.
“We were discovering new impacts two months after the earthquake,” Bill said. “It took weeks to uncover where the risk actually lived.”
This reactive approach, while operationally heroic, was resource-intensive and unsustainable. That experience drove Bill’s search for a smarter, more proactive solution—leading him to Resilinc.
Imagine facing that crisis – but with Agentic AI
Agentic AI changes everything. As Sushant Khopkar, Resilinc’s Director of Data Science, explained during the webinar, Agentic AI acts as a tireless analyst—ingesting massive volumes of data, identifying risk patterns, recommending actions, and even initiating mitigation steps autonomously.
“Think of Agentic AI as your lead data scientist,” Sushant said. “It doesn’t just analyze data—it acts on it. It gives you mitigation steps, estimates recovery times, and can even engage suppliers directly.”
Whether it’s predicting how long a supplier disruption might last or identifying alternate sourcing options in seconds, these AI agents empower supply chain teams to shift from reactive firefighting to proactive prevention.
What makes AI supply chain risk management different?
Unlike traditional tools, this approach represents a new era of AI supply chain risk management, where agents act proactively instead of waiting for human input. It detects risks, prioritizes threats, breaks down complex questions into actionable sub-tasks, and initiates responses—often without human prompting. It’s about intelligent action.
In Bill Hurles’ words: “If I had this back at GM, it would have saved months of work and mitigated risks we didn’t even know were coming.”
Why speed matters now
Resilinc’s EventWatchAI platform has tracked a steady rise in supply chain disruptions—up by double or triple digits in recent years across categories like labor, tariffs, cyberattacks, and regulatory risks. Manual methods simply can’t keep up.
Agentic AI is designed for this environment: fast-moving, global, and high-stakes. By bridging the gap between data and decisions, it helps businesses act faster, mitigate more effectively, and protect both revenue and reputation.
From paper trails to AI Agents: A smarter way to stay compliant
Regulatory compliance has become one of the most urgent and complex challenges in supply chain risk management—especially for industries like automotive, where legislation such as the Uyghur Forced Labor Prevention Act (UFLPA) and the European Deforestation Regulation (EUDR) demand deep supply chain traceability. As Bill Hurles shared, compliance efforts in the past were heavily manual, slow, and often plagued by low confidence in the data—requiring countless hours of outreach, analysis, and legal interpretation.
Today, Resilinc is turning that burden into an opportunity with Agentic AI. New task-specific agents like the UFLPA agent can scan entire supply networks, flag at-risk suppliers, recommend due diligence actions, and even help identify cleaner sourcing alternatives. By integrating regulatory data directly into a global graph-based supply chain map, these agents help companies stay compliant proactively—not just legally, but ethically and efficiently.
A future built on self-healing supply chains with AI-powered supply chain software
The future of Agentic AI isn’t just smarter algorithms—it’s supply chains that can heal themselves.
As shared in the webinar, Resilinc’s vision of self-healing supply chains is rapidly becoming reality: AI agents that continuously monitor the health of your supply chain, detect disruptions or compliance risks in real time, and autonomously act to keep your operations on track. And it’s happening now.
Powered by increasingly advanced large language models (LLMs), improved agentic frameworks, and real-time feedback loops, these AI agents will only grow more intelligent. With every interaction, they learn. With every disruption, they get faster. And as governance models evolve—including secure enterprise-grade LLMs, audit trails, and customer data safeguards—trust in automation will grow alongside capability.
Resilinc is building toward a future with AI-powered supply chain software—where your supply chain isn’t just visible, but responsive, resilient, and self-correcting. In Sushant Khopkar’s words, “I truly believe the future is bright.”
Want to hear more insights from these experts? View the on-demand webinar.
