Justin Fulcher on Public-Sector AI What Works and What Stalls
Government technology discussions tend to swing between two extremes: uncritical enthusiasm about what AI will transform and pointed skepticism about whether agencies can implement anything at scale. Justin Fulcher, drawing on experience as both a technology founder and a senior government advisor, offers a more precise view.
AI can genuinely improve government operations, Fulcher argues. The condition is that it has to fit. Tools that integrate smoothly into how agencies already work have a path to adoption. Tools that require institutions to redesign themselves first rarely survive the transition from pilot to practice. The distinction is not subtle, but it is consistently overlooked.
The Role of Fit in Regulated Environments
Fulcher’s experience at the U.S. Department of Defense gave him a detailed view of how technology decisions move through institutions with complex legal structures and overlapping oversight responsibilities. Contributing to reforms that compressed software procurement timelines from years to months was not a matter of finding better software. It was a matter of building alignment across teams that had never been organized around a shared timeline.
That lesson scales. An AI application that an agency’s legal team cannot quickly assess, or that requires data in formats incompatible with existing systems, or that generates outputs that cannot be traced back to auditable inputs, will struggle to move beyond the pilot stage regardless of its performance in controlled conditions.
Justin Fulcher has pointed to implementation discipline as the deciding factor: clear objectives, realistic timelines, and structured responsiveness to user feedback. The agencies most likely to build durable AI capability, in his account, are those that treat deployment as an ongoing organizational process rather than a one-time technology purchase. That discipline is rarer than it should be, but it is the variable that most consistently separates successful modernization from expensive pilots that never scale. Visit this page on LinkedIn, for more information.
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