Supply chain and operations leaders are under pressure to make faster, smarter decisions amid volatility, disruption, and rising expectations for cost, service, growth, and resilience.
Yet the real challenge is not simply making better plans. It is ensuring decisions are translated into action across complex, cross-functional supply chains.
Many enterprises have launched pilots, tested tools, and explored use cases, but far fewer have built the systems needed to make AI repeatable across the business. The companies pulling ahead are building AI factories—systems that continuously design, deploy, and iterate on agents at scale across workflows, talent, and infrastructure.
While most CFOs are now deploying AI, a gap has emerged between this rapid adoption and the governance required to manage it safely across core financial operations.
Risk is no longer siloed. Gaps across physical security, cybersecurity, and compliance directly impact business continuity, regulatory exposure, and board-level risk reporting. As organizations scale across distributed locations, support hybrid work, and operate across fragmented systems, leaders are challenged to move beyond reactive controls toward integrated, real-time risk visibility across physical and digital environments. Through peer exchange and off-the-record dialogue, attendees will gain practical strategies to align cross-functional stakeholders, modernize risk management approaches, and elevate security from a cost center to a strategic business enabler. Hosted in a private dining setting designed for meaningful conversation, this experience offers the opportunity to build trusted connections with peers navigating similar challenges.
In high-stakes moments, leaders don’t fail because they lack data. They fail because they lack visibility into the signals that matter most. As economic pressure rises and AI accelerates change, decisions are happening faster, with less margin for error. Yet many organizations are cutting back on the very insights that help leaders detect early warning signs, align teams, and execute with confidence.
As AI becomes embedded in core business processes, enterprises are facing new challenges around scale, governance, and infrastructure readiness. Many organizations are discovering that operationalizing AI requires more than powerful models and data. It also requires the right infrastructure, platforms, and organizational alignment to support AI reliably across the enterprise.
