Effective governance of artificial intelligence (AI) necessitates balancing between safeguarding the rights of key stakeholders and creating a regulatory environment that enables innovation. This chapter develops an elaborate framework to facilitate risk-proportionate AI governance. As a novel feature, the proposed framework aligns international ethics instruments with key performance indicators and implementation playbooks. An extensive narrative review of global policy trends is combined with a compact quantitative study (featuring 10 organizations) to illuminate how regulatory clarity, ethics-by-design capabilities, and incident response influence innovation velocity. The project embraces distinct visual analytics, including violin, empirical cumulative distribution function, and radar. Notably, visual analytics are complemented by technical assessment, policy synthesis, sector-based perspectives, and practitioner guidance. The chapter concludes with a field-ready governance blueprint that combines principles, controls, metrics, and assurance to effectively regulate AI-related innovation at scale.