Resilinc Unveils AI-Driven Supply Chain Maturity Model to Combat Modern Disruptions

Resilinc Unveils AI-Driven Supply Chain Maturity Model to Combat Modern Disruptions

Supply chain technology provider Resilinc is set to present a revolutionary approach to supply chain maturity assessment that incorporates artificial intelligence and autonomous systems to address the limitations of traditional risk management models. The company will outline this new framework during an upcoming webinar on February 25, 2026, as industry leaders grapple with unprecedented global volatility and supply chain complexity.

The evolution comes as traditional supply chain risk management maturity models, long considered industry standards, are proving inadequate for today's rapidly changing business environment. According to Resilinc, current models are being stretched beyond their capabilities by global volatility, increased regulatory pressure, and increasingly complex supplier networks that demand real-time response capabilities.

"Today's pace of disruption is stretching even the most advanced stages of traditional maturity models," said Kamal Ahluwalia, CEO of Resilinc, who will present alongside Christopher Benham, Senior Director of Customer Enablement at Resilinc, and Diego Sebastián Guerrero, former Global Lead of Procurement and Supply Chain Management at Chevron. The session will be moderated by SupplyChainBrain Editor-in-Chief Robert Bowman.

The new AI-driven maturity phase represents a significant departure from reactive supply chain operations toward what Resilinc terms "intelligent resilience." This approach leverages agentic AI systems capable of sensing disruptions, recommending responses, and taking autonomous action with human oversight. The technology promises to transform how organizations handle disruption response, compliance management, and tariff administration.

Real-world applications of this technology are already demonstrating measurable impact across multiple industries. AI agents are now augmenting supply chain teams in critical areas including disruption response, regulatory compliance, and tariff management, allowing organizations to move from reactive problem-solving to proactive risk mitigation. These systems can process vast amounts of supply chain data, identify patterns that human analysts might miss, and execute predetermined responses to common disruption scenarios.

The implications for the logistics and fulfillment industry are substantial. Third-party logistics providers and e-commerce fulfillment operations, which often manage complex multi-client supply networks, stand to benefit significantly from AI-powered risk assessment tools. These technologies can provide real-time visibility across diverse supply chains, enabling more sophisticated risk modeling and faster response times to potential disruptions.

Industry adoption of AI-driven supply chain technologies accelerated throughout 2025, with organizations increasingly recognizing the limitations of traditional approaches. The integration of AI into supply chain risk management represents part of a broader digital transformation trend that includes advanced analytics, machine learning, and predictive modeling capabilities.

The webinar will also provide practical guidance for organizations seeking to evaluate their AI readiness and develop roadmaps for advancing their supply chain maturity. This includes assessment tools to help companies understand their current capabilities and identify the investments needed to reach higher levels of autonomous operation.

As supply chain disruptions continue to impact global commerce, from geopolitical tensions to climate-related events, the ability to rapidly assess and respond to risks becomes increasingly critical. Resilinc's new maturity model framework could provide the blueprint for how leading organizations will manage supply chain risk in an era where traditional approaches are no longer sufficient to ensure business continuity and competitive advantage.