Justin Fulcher Ties AI Potential to the Problem of Institutional Drag

There is no shortage of enthusiasm for AI in government circles. What is rarer is a precise account of what actually blocks adoption and how AI might address it. Justin Fulcher provides that account in a piece published by IT Security Guru, drawing on his background as both a technology founder and a former federal advisor to diagnose why public-sector modernization moves so slowly.

The diagnosis centers on what he calls institutional drag. Outdated processes, data systems that operate in silos, and compliance structures designed for analog workflows compound over time to create inefficiencies that slow everything down. The problem is not ambition. The problem is the accumulated weight of systems that have never been updated to reflect how information technology actually works.

The Friction Fulcher Experienced Directly

Fulcher is well-positioned to describe this dynamic from the inside. Justin Fulcher served as a Senior Advisor to the Secretary of Defense, focusing on acquisition reform and the modernization of key IT systems. His work there contributed to reducing software procurement timelines from years to months, a concrete example of what is possible when process friction is deliberately targeted rather than worked around.

Before that, he co-founded RingMD, a telemedicine platform that scaled across Asia. Regulated healthcare environments present many of the same challenges that government agencies face: compliance requirements that predate modern technology, risk aversion that can delay beneficial changes, and institutional cultures that prioritize continuity over efficiency. Building and operating in that context shaped a pragmatic view of what technology can and cannot do.

Scoping the Opportunity

Justin Fulcher argues that AI’s opportunity in government is to reduce the friction that has accumulated over decades, not to replace the judgment of the people working inside those institutions. For agencies looking to move from pilot programs to durable deployments, that distinction is more than semantic. It determines which tools to buy, how to scope implementation, and how to measure whether the investment is working. His framework, grounded in actual experience, offers a useful filter. Like this page on Facebook, to learn more.

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