Complex commercial transactions now involve legal, financial, regulatory, and operational aspects. Often, these functions are managed through fragmented compliance that focuses on regulatory adherence, ignoring performance and risk analysis. This can cause misaligned incentives, hidden risk transfer, cost overruns, and weaker resilience. This paper introduces Governance Intelligence as a systems-based approach to unify risk allocation, compliance, and performance monitoring into a decision-making architecture. Instead of static compliance, governance becomes a dynamic, data-driven system linking legal design, financial exposure, and outcomes. It has three parts: risk allocation in contracts, performance metrics aligning obligations and operations, and feedback processes for continuous oversight. This integrated approach shifts organizations from reactive compliance to proactive, risk-aware decisions. Although aimed at complex commercial and capital markets, the framework is adaptable to other sectors with high-value contracts and multiple stakeholders. It offers a foundation for transforming governance into an intelligence-driven system that improves resilience, transparency, and long-term performance.