Most organizations deploying AI have already solved the technology problem. What they have not solved is the governance problem. AI systems are becoming capable of acting, recommending, escalating, approving, and executing decisions. The question is no longer whether AI can act. The question is: Who governs those actions? Who owns the consequences? Who can demonstrate legitimacy when decisions are challenged? My work focuses on designing the governance architecture that answers those questions before AI systems become operational. I help organizations establish decision authority, accountability structures, escalation pathways, human oversight models, and governance controls that preserve institutional legitimacy as AI becomes embedded in decision processes. ───────────────────────── Credentials ───────────────────────── • CRISC — Certified in Risk and Information Systems Control (ISACA) • AIGP — AI Governance Professional (IAPP) • Executive Certificate in Strategy & Innovation (MIT Sloan) • MBA in Artificial Intelligence (4.0 GPA) ───────────────────────── Specialization ───────────────────────── • AI Governance Architecture • Decision Authority Design • Human Oversight Architecture • Escalation Governance • Decision Continuity Governance • AI Agent Readiness • Governance Gap Analysis • Institutional Accountability Design ───────────────────────── Original Governance Models ───────────────────────── • AI Decision Continuity Architecture (ADCA) • Institutional AI Governance Lifecycle • Decision Authority Escalation Architecture • Human Oversight Architecture • Governance Debt • Accountability Displacement • Authority Fragmentation These models focus on a common challenge: How institutions preserve governance legitimacy when decisions become increasingly distributed across humans, automation systems, and AI agents. ───────────────────────── Aligned With ───────────────────────── SAMA • NCA • Vision 2030 • ISO 42001 ───────────────────────── How I Engage ───────────────────────── Remote • Deliverables-Based • Written Engagements Preferred Every engagement concludes with client-owned, auditable governance deliverables including Governance Charters, Decision Authority Matrices, Human Oversight Structures, Escalation Architectures, Governance Findings Reports, and Risk Classification Frameworks. No open-ended retainers. No dependency creation. Structured governance assets that remain with the client.