Ryan T. Jessee

The governance architect executives bring in when AI adoption needs to be fast, auditable, and legally defensible.

Defense · Telecommunications · Critical Infrastructure · Regulated Enterprise

With 15 years spanning classified operations, global technology diplomacy, and enterprise modernization, I design the AI governance architectures and data platforms that make adoption defensible at scale — in defense, telecommunications, and critical infrastructure. I authored the Human-in-Command governance framework and the MV-HIC evidence standard, and I am an incoming Executive Ph.D. candidate at Virginia Tech (Fall 2026).

Core Thesis: Rigorous AI governance inherently accelerates enterprise adoption.

In complex, regulated environments, establishing clear rules of the road—such as a tiered risk structure—clears the runway for scale. It empowers operational divisions to deploy low-risk automation rapidly while securing mission-critical systems with mandatory Human-in-Command protocols. Governance creates the boundaries that make velocity safe.

Latest Research

Scapegoat-as-a-Service: Moving from Human-in-the-Loop to Human-in-Command in Regulated Systems

Jessee, R.T. (2026). SSRN Working Paper / Preprint. Revised February 2026.

Read on SSRN →

Figure 1: Human-in-Command governance model showing the MV-HIC evidence record assembled at the control plane, validated by envelope enforcement, and routed to execution or escalation, with immutable audit logging and governance feedback cycle

Figure 1. Human-in-Command governance model: authority, evidence, and enforceable constraints at the boundary.

Explore

The Human-in-Command (HiC) Framework → — The AI governance framework developed by Ryan T. Jessee for organizations that need AI adoption to be fast, auditable, and legally defensible in regulated industries.

AI Governance Boards: Building a Clearance System → — How to build an AI governance board that functions as a clearance system, not theater.

Research → — The Human-in-Command framework, MV-HIC evidence standard, and working papers on AI governance in regulated systems.

Speaking → — Keynotes and executive workshops for COOs, CAIOs, and governance leaders in defense and heavy industry.

About → — 15 years from classified operations to enterprise AI leadership.

Governing My Own Stack → — How this site is built — and why the architecture is a governance decision.

Contact

hello@ryantjessee.com · LinkedIn

Personal site. Views are my own.

Research Speaking About Now The Human-in-Command (HiC) Framework Governing My Own Stack AI Governance Boards: Building a Clearance System