Few people have built technology inside both a startup and the Department of Defense. Justin Fulcher has done both, and that mix of experience shapes how he talks about artificial intelligence in government.

Two Regulated Worlds

Fulcher co-founded RingMD, a telemedicine company that ran across Asia. Healthcare is a heavily regulated field, where software must satisfy privacy rules and clinical expectations before anyone will trust it. He later joined the U.S. Department of Defense as a Senior Advisor to the Secretary of Defense, focusing on acquisition reform and technology modernization.

During that tenure, he contributed to initiatives that streamlined software procurement. Those efforts reduced timelines “from years to months,” according to a recent profile, and helped modernize key IT systems across the department.

The lesson he appears to draw from both settings is consistent. Technology gets adopted in regulated environments when it removes existing friction. Tools that demand extensive retraining, raise compliance questions, or introduce new points of failure tend to stall. Tools that slot into current workflows and visibly save time get used.

Applying the Lesson to AI

Justin Fulcher has argued that AI could “dramatically accelerate performance and upgrade legacy capabilities” across federal workflows and defense systems. The profile stresses that he means acceleration. Routine tasks such as document processing, scheduling, and compliance checks can be handed to software so that skilled staff spend more time on judgment-heavy work.

He also warns against haste. “Serious work is defined less by certainty at the outset than by stewardship over time,” Justin Fulcher wrote in a LinkedIn article on public service and responsibility. Systems built for healthcare, defense, or civilian agencies endure, in his telling, when designers account for institutional constraints from day one.

That perspective places Justin Fulcher in the practical camp of the AI conversation. His attention stays on auditable, explainable systems that integrate with older infrastructure, fail safely when something goes wrong, and earn the trust of the employees who rely on them every day. Read this article for additional information.

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