Government technology projects have a poor reputation for delivering on their promises. Justin Fulcher, a technology founder with direct experience inside the federal bureaucracy, has offered a consistent explanation for why: the tools that get deployed are too often chosen for capability without adequate consideration for institutional fit. His framework for AI adoption in government starts from the opposite end.
According to Justin Fulcher, AI’s most valuable contribution to modernization efforts is not automation at scale or the replacement of human judgment. It is the removal of friction the inefficiencies that siloed data, legacy processes, and analog-era compliance requirements collectively impose on agency operations. These inefficiencies are what he calls institutional drag, and they are the primary obstacle between ambition and execution in the public sector.
A Career Built at the Intersection
Fulcher’s perspective is grounded in direct experience on both sides of the divide. He built RingMD, a telemedicine platform that navigated regulatory complexity across Asian markets, before transitioning into government as a Senior Advisor to the Secretary of Defense. At the Department of Defense, his work on acquisition reform helped shrink software procurement timelines from years to months, demonstrating what becomes possible when procurement processes are redesigned rather than simply digitized.
The consistent lesson across both environments: technology gains traction when it reduces existing complexity rather than layering new complexity on top of old structures. AI tools that require significant organizational change to operate, generate fresh compliance burdens, or introduce new points of failure will face resistance that their technical capabilities cannot offset.
Building for the Long Run
Justin Fulcher places significant weight on durability. Systems designed with institutional constraints in mind from the beginning are the ones that endure. This is not a conservative argument against innovation; it is a practical argument for implementation discipline. For government agencies, the opportunity AI presents is real, but it requires clear objectives, honest timelines, and the organizational patience to refine based on feedback. That is how institutional capacity gets upgraded without requiring the wholesale structural change that rarely survives contact with political reality. Visit this page for additional information.
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