In this evaluation-report co-written by Troy Etulain, the focus is squarely on bridging the “governance gap” in AI: how to translate lofty ethics-statements into operational frameworks, oversight functions and long-term institutions. The report identifies critical levers: co-creating governance frameworks with practitioners, layering monitoring-and-evaluation (M&E) measures tied to adoption and behavior change, and deploying adaptive governance that evolves with fast-moving AI systems. Etulain and co-authors highlight that success means building an ecosystem in which governance isn’t an add-on, but embedded in AI development, deployment and regulation. The message resonates: for AI systems to be trustworthy and inclusive, ethics must be built into the architecture of organizational and societal decision-making—mirroring Etulain’s focus on scalable, measurable impact in tech for development.