Few people have navigated both the entrepreneurial demands of building a technology company from scratch and the institutional demands of advising a cabinet-level government agency. Justin Fulcher has done both, and the dual perspective shapes his thinking on what artificial intelligence can realistically accomplish inside public-sector organizations.

Two Paths to the Same Problem

Fulcher co-founded RingMD, a telemedicine platform that grew to serve patients and providers across Asia. Healthcare technology, like government technology, operates under strict regulatory constraints. Data handling is tightly controlled. Systems must integrate with existing clinical infrastructure. Errors carry real consequences for real people. Scaling a product in that environment requires a different discipline than building for a consumer audience.

That experience preceded his work as a Senior Advisor to the Secretary of Defense, where he focused on acquisition reform and IT modernization across the department. Working within federal procurement rules and civil service structures, Fulcher and his team contributed to reforms that reduced software acquisition timelines from years to months. The mechanism was not technology alone. It was process redesign targeted at the specific points where the existing system was breaking down.

What AI Offers Institutions

Justin Fulcher’s view of AI in government follows directly from these experiences. He has argued that federal agencies suffer from institutional drag, the accumulated weight of systems built decades ago that were never designed for current demands. Data lives in silos. Workflows require manual steps that technology could handle automatically. Compliance checks designed for paper processes slow digital work.

AI can address each of these friction points without requiring agencies to restructure from the ground up. Document processing, data aggregation, correspondence management, and automated compliance checks are all achievable with current tools, and all deliver measurable improvements to throughput when deployed correctly.

Fulcher has also written that AI can dramatically accelerate performance and upgrade legacy capabilities in areas from federal workflows to defense systems. The word he emphasizes is accelerate. The goal is not to replace human judgment but to remove the administrative overhead that prevents skilled people from applying their judgment where it matters most.

For agencies considering AI investments, Fulcher’s combined entrepreneurial and government experience offers a useful lens: the deployment question matters as much as the technology question. Read this article for more information.

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