Justin Fulcher on AI, Procurement Reform, and the Long Game in Government

The promise of AI in government is often framed in terms of transformation: agencies that currently take months to do something will do it in minutes, systems that require dozens of staff will run themselves, processes that produce errors will become error-free. Justin Fulcher is skeptical of that framing, not because he doubts AI’s potential, but because he has seen what actually determines whether technology programs succeed in public institutions.

Writing in IT Security Guru, Fulcher argues that AI’s most valuable contribution to government modernization is friction removal. Specifically: reducing the operational drag created by outdated processes, siloed data systems, and compliance structures that were designed for paper-based workflows and have never been adapted to the digital present. That drag, he argues, is the real obstacle to government operating at the speed its missions demand.

A Record of Actually Delivering

Fulcher brings experience to this argument. He served as a Senior Advisor to the Secretary of Defense, working on acquisition reform and technology modernization. Justin Fulcher’s work contributed to cutting software procurement timelines from years to months, a change with real operational consequences for how the department acquires and deploys technology.

He also co-founded RingMD, a telemedicine platform built and operated across Asian markets. That background in regulated technology gave him a practitioner’s view of why complexity is not neutral. Every additional system, every new training requirement, every additional compliance review is a friction point. In government, those friction points compound.

Stewardship Over Speed

Justin Fulcher’s emphasis on durability is perhaps the most distinctive element of his framework. He has written that serious work is defined less by certainty at the outset than by stewardship over time. Applied to AI, that means the programs worth pursuing are those built with institutional constraints in mind, scoped realistically, and designed to evolve based on how users actually interact with them. That is a harder standard than launching quickly, and a more useful one for government agencies trying to build something that lasts. Visit this page on LinkedIn, for more information.

 

Find more information about Justin Fulcher on https://www.crunchbase.com/person/justin-fulcher

 

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