Building Resilient Federal Supply Chains: Leveraging AI, Data, and Cross-Agency Collaboration

On behalf of the IBM Center for The Business of Government, we are pleased to present the report, Building Resilient Federal Supply Chains: Leveraging AI, Data, and Cross-Agency Collaboration by Zal Phiroz, Instructor (Supply Chain), Harvard and Assistant Professor (Supply Chain), Michigan State University

United States Capitol building framed by autumn trees and a wet reflective plaza with numerous pedestrians appearing as colorful, blurred silhouettes, suggesting motion in the rain.

Federal supply chains underpin nearly every aspect of government operations. From defense systems and medical supplies to microelectronics and diplomatic security equipment, the federal government depends on a complex, layered network of suppliers, manufacturers, and logistics providers to carry out its missions. When that network is disrupted, whether due to geopolitical tensions, cyberattacks, natural disasters, or gaps in visibility and planning, the
consequences can range from operational delays to failures with significant national security implications. The question facing government leaders is not whether federal supply chains face serious risks, but whether agencies have
the tools, data, and organizational capacity to manage those risks effectively.

The IBM Center recently convened a roundtable of senior practitioners from the Department of Defense, Office of Management and Budget, General Services Administration, the Department of Veterans Affairs, the State Department, the Defense Microelectronics Activity, and IBM, among others, to examine that question directly. They found a consistent pattern: limited visibility into sub-tier suppliers, data too unreliable to support AI at scale, cybersecurity risks poorly integrated into enterprise risk frameworks, and an acquisition workforce largely untrained in supply chain management and unprepared to evaluate the AI tools being handed to them.

Near-term opportunities include AI-assisted market research, anomaly detection, predictive analytics, and smarter task automation, but participants were clear that deploying technology on top of bad data produces bad outputs faster. Progress requires getting the fundamentals right: data quality, workforce development, cross-agency coordination, and the organizational will to treat supply chain risk as a genuine leadership concern rather than a compliance checkbox.

This report adds to the IBM Center for The Business of Government’s broader body of work on federal acquisition, financial management, and emerging technology. Related reports include Enhancing Government Payment Integrity: Leveraging AI and Other Emerging Technologies, Government Procurement and Acquisition: Opportunities and Challenges Presented by Artificial Intelligence and Machine Learning, and Outcome-Based Contracting in U.S. Government: From Policy to Performance.

Federal supply chains touch national security, public health, and the delivery of government services at every level. The insights captured in this report reflects an honest accounting of gaps, what drives them, and what it will realistically take to address them.