The Certified Network: Remote access, sovereign AI and private certification across the Japan-Korea-Cambodia corridor

This paper brings together six earlier GCTI papers into a single framework. Their subjects are clean-engagement certification, certificate-to-employment pathways, the compute portfolio, reflection skills, verification and provenance, and the Japan-Cambodia skills corridor. It argues that the decisive problem in AI-era professional work is not access to models or compute but trusted access across organisational and national borders. Firms, corporate groups and states increasingly need outside people and AI agents to work on their systems and data. Sovereign AI policies and data-protection law make that access harder to grant. The paper describes a seven-layer stack (compute, models, agents, interface, trust, pathway and network). It identifies the trust and pathway layers as the positions that no incumbent clearly holds, and assigns distinct roles in the corridor to Japan (demand and trust), South Korea (proof at scale) and Cambodia (talent and financing). It proposes a first product, remote and certified delivery for mid-sized Japanese firms and supplier networks staffed by certified Cambodian practitioners, and a measured pilot to test it. It weighs advantages and risks, including the wage-arbitrage critique, conglomerate in-house provision, cross-border data rules and the credibility of private credentials. The author leads the entities described; the paper is a proposal and a test plan, not evidence of results. Declared interests: the author is the founder of GCTI, Managing Member of E.M.B.O.A LLC and Representative Member designate of Emboa Japan GK (in formation). Discussion paper, version 1.1. Version 1.1 adds section 7, a positioning analysis against the vendor and governance AI certifications that expanded during 2026, with a SWOT and the argument that sovereignty should extend to the people who verify national models.