Operator — The operator
Michigan · USA
Operational judgment, technical evidence.
Jeremy is the sole operator behind ClelandCo. This page separates background from public technical evidence, and names the limits of both.
14
years in uniform
8
years as a Green Beret
18D
Special Forces medic MOS
2025
M.S. Artificial Intelligence
The long version
Background, then evidence.
I retired from the U.S. Army in 2022 after fourteen years in uniform. I served as a combat medic from 2008 to 2014, then as a Green Beret from 2014 to 2022. The relevant habit is not a war story. It is stating what is known, what is assumed, who has authority, and what evidence would change the plan when information is incomplete.
I completed an M.S. in Artificial Intelligence at the University of Michigan-Dearborn in 2025. Selected Work is the public record: a live technical-readiness scan, a published contingency method, an individual image-to-LaTeX model study, and a credited team simulation. Each entry says what it does not establish.
ClelandCo focuses on an operating gap: AI decisions can cross product, engineering, security, legal, procurement, and leadership without one written mandate joining them. The strategic advisory engagement pressure-tests those decisions while the client retains implementation authority. The fractional seat carries a delegated, part-time mandate and reports the controllable work and evidence; it does not guarantee the business result or take authority reserved to company officers.
Public evidence for visibility work is the live scan and published methods. Provider sampling is still in validation and is not reported as business measurement.
The practice is built around a simple standard: label status, expose method, keep the limitation beside the claim, and recommend no additional engagement when the evidence does not justify one.
Questions
Asked and answered.
- What is your background, exactly?
- Jeremy retired from the U.S. Army in 2022 after fourteen years in uniform. He served as a combat medic from 2008 to 2014, then as a Green Beret from 2014 to 2022 (18D Special Forces medic). He completed an M.S. in Artificial Intelligence at the University of Michigan-Dearborn in 2025. ClelandCo focuses that operational and technical background on AI decision-making, evaluation, governance, technical-readiness work, and a provider-backed visibility measurement design still in validation.
- What does a Special Forces medic have to do with AI?
- The transferable part is not the setting. It is making decisions with incomplete information under a deadline, stating assumptions, rehearsing failure, and assigning authority before the situation becomes urgent. Those habits apply to AI operating decisions without making military experience a substitute for technical evidence.
- Are remote U.S. engagements available?
- Yes. ClelandCo is based in Michigan and is available for remote U.S. scopes. Delivery tools and any on-site time are agreed in the written scope rather than implied by this site.
- Is ClelandCo a firm or a sole operator?
- A sole operator. Jeremy Cleland is the practitioner. The advisory engagement is review and written criteria while your team implements. The fractional seat is a part-time executive mandate with written decision rights, a reporting line, and a transition plan toward a permanent internal role when the function becomes full-time.
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