Building an AI tool that works is one challenge. Building one that a federal agency can trust, explain, and defend to the public is another entirely. Justin Fulcher, a technology founder with government advisory experience, has spent time thinking through exactly that gap.
Why Explainability Comes First
According to Fulcher, government agencies face pressures that most private companies never encounter, including strict data security requirements, civil service protections, and constant public accountability. Any AI system entering that environment needs to be auditable and explainable, and it needs to fail safely rather than breaking in ways nobody can trace. Those aren’t nice extras. They’re baseline requirements for anything meant to operate at scale inside a public institution.
Justin Fulcher’s credibility on this point comes from direct experience. He served as a senior advisor to the Secretary of Defense, focusing on acquisition reform and modernization efforts that shortened software procurement timelines dramatically. That work exposed him to exactly the kind of legacy infrastructure and compliance friction he now argues AI needs to work around rather than ignore.
A Career Built on Regulated Work
Before his government role, Justin Fulcher co-founded RingMD, a telemedicine platform operating across Asia, where healthcare regulations shaped nearly every product decision. That background gives him a consistent lens: technology succeeds in high-stakes environments when it’s designed for scrutiny from the outset, not retrofitted with safeguards after something goes wrong.
He often points out that tools requiring heavy retraining or creating new compliance headaches tend to stall regardless of how capable they are underneath. What actually gets adopted, he argues, are systems that integrate cleanly into daily workflows and visibly save time while staying transparent about how they reach their conclusions. For Fulcher, that transparency is what separates lasting modernization from a short-lived pilot program.
Public institutions don’t get the benefit of the doubt that private companies sometimes receive when new technology stumbles. Every failure gets scrutinized, which is exactly why Fulcher insists explainability has to be part of the design from day one rather than something bolted on later. Read this article for additional information.
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