The increasing autonomy of artificial intelligence (AI) systems necessitates a paradigm shift from reactive regulatory compliance to proactive, architecturally enforced ethical governance. Current accountability models struggle to address the opacity of AI decision-making, creating a critical gap in verifiable trust. This paper introduces Ternary Moral Logic (TML), a novel computational ethics architecture designed to bridge immutable technical systems with enforceable moral reasoning. TML operates on a triadic framework that moves beyond binary right/wrong evaluations to a more nuanced, contextaware logic. We detail its Eight Pillars-Sacred Zero and Pause, Always Memory, the Goukassian Promise, Moral Trace Logs, Human Rights, Earth Protection, the Hybrid Shield, and Public Blockchains-which collectively create a system for traceable, verifiable, and auditable accountability in AI operations. By integrating cryptographically sealed logs with ethical directives, TML provides a robust mechanism for ensuring that an AI's actions are not only recorded but are also aligned with predefined moral constraints. We demonstrate TML's practical interoperability with leading international standards, including the EU AI Act, the NIST AI Risk Management Framework, and the IEEE 7000-series, illustrating how it addresses their conceptual gaps by providing an implementable technical backbone for ethical principles. This work concludes that architecturally enforced morality, as embodied by TML, represents the next frontier in AI governance, enabling a future where ethical accountability is a computational reality, not merely a regulatory aspiration.