What the Army Taught Me About Rolling Out AI
AI · LeadershipAdoption is a leadership problem before it's a technology problem. What twenty years of leading change in a large institution predicts about your AI rollout.
Leadership · Project Management · AI Application Development
Twenty-four and a half years in the U.S. Army — enlisted soldier to field-grade officer. Capital project controls on $50M–$250M programs. And a working practice of building AI systems that solve real operational problems — not demos. I sit at the intersection where strategy, execution, and emerging technology have to actually agree with each other.
NOTE: Overlapping bars are the point. Leadership never left the critical path.
Capabilities
Most people bring one of these. The value is in the seams — leading teams through change, keeping complex work on schedule, and knowing when AI genuinely moves the needle versus when it's a distraction.
Nearly a quarter century leading soldiers and advising commanders — from a 26-country Indo-Pacific special operations theater to brigade formations to the Corps of Cadets at West Point. Leadership under real stakes, with real people, at every echelon.
Formal project controls background — schedule, cost, and scope on major capital programs at Eastman Chemical, and most recently workforce training systems for Walt Disney World Distribution Services.
A working builder, not a slide-deck futurist. I design and run multi-agent AI systems, and I build AI-assisted tools that frontline teams actually use — scoped to the problem, shipped fast, measured honestly.
Selected Work
Designed and built a mobile-first training tracker for all of WDW Distribution Services: task inventories, bilingual task breakdown sheets, train-the-trainer guides, trainer qualification standards, and workforce evaluation checklists — briefed directly to leadership with an executive rollout plan.
One person, one fellowship, a production-grade system from a blank page.
Doctoral dissertation on enhancing strategic leadership among U.S. Army officers in specialized branches — original qualitative research on how technical experts inside large organizations grow into enterprise-level strategic leaders. The same problem every company scaling AI adoption is quietly facing.
An interactive CPM scheduling reference I designed and built with AI — plain-English terms, logic ties, live float calculators, a practice network, and a self-check quiz. Of everything on this page, it's the one artifact you can test yourself in the next ten seconds.
A self-hosted lab running specialized AI agents for research, drafting, advocacy analysis, and dispatch automation — integrated across chat and messaging interfaces. It's where I pressure-test what agentic AI can reliably do before recommending it for anyone's operation.
Credentials
Liberty University
Liberty University
Louisiana State University
24.5 years · Enlisted to Commissioned Officer
Field Notes
Working notes on leading people through change, keeping complex projects honest, and putting AI to work where it actually earns its keep.
Adoption is a leadership problem before it's a technology problem. What twenty years of leading change in a large institution predicts about your AI rollout.
A schedule isn't a spreadsheet — it's a statement about what the team believes. How project controls discipline changes the conversations leaders have.
Lessons from running a self-hosted multi-agent system: what agents are reliably good at, where they quietly fail, and how to scope them for real operations.