Federal agencies are still running on infrastructure built for a different era, and the gap is starting to show. Justin Fulcher, a technology founder who previously advised the Pentagon, says the fix has less to do with new funding and more to do with removing friction from daily operations. He argues that artificial intelligence, deployed carefully, can help institutions move at the speed their missions actually require.

Untangling Old Systems

Fulcher has pointed to outdated processes and siloed data as the real drag on progress, not a lack of ambition. Compliance requirements built for paper-based workflows compound the problem, slowing down agencies that already struggle to keep pace with public expectations. Justin Fulcher view reframes the modernization debate: it isn’t about headcount or budget, but whether the tools people use actually let them do their jobs.

In that framing, AI becomes a practical instrument rather than a flashy upgrade. Document processing, correspondence, scheduling, and compliance checks are the kinds of repetitive tasks where automation can quietly reduce manual burden. None of this requires agencies to tear down their organizational charts or start from scratch.

Judgment Still Matters

Justin Fulcher has been careful to separate automation from replacement. His public-sector background, including work on acquisition reform at the Department of Defense, shaped a view that technology succeeds when it fits cleanly into existing workflows. Tools that demand extensive retraining or introduce new compliance headaches tend to stall, while those that visibly save time gain traction.

He has also cautioned that government adoption carries constraints private companies rarely face, including strict data security rules and public accountability standards. Systems need to be auditable and explainable, and they need to work alongside legacy infrastructure that cannot simply be swapped out overnight. For Fulcher, the payoff of AI in government is real, but only when institutions treat implementation with the same discipline they’d apply to any mission-critical system. Refer to this article for more information.

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