Complexity is no longer the exception in modern institutions. It is the operating environment. Organizations today are expected to make decisions under accelerating technological change, permanent scrutiny, systemic interdependence, algorithmic influence, geopolitical instability, and relentless short-term pressure. Yet most governance systems were not designed for this level of complexity. They were designed for stability, predictability, and slower cycles of consequence. GOVERNANCE: How to Design Decision Systems that Withstand Complexity, AI, and Short-Termism is a work of strategic and institutional architecture that redefines governance not as administration, compliance, or leadership style, but as the deliberate design of decision systems capable of sustaining coherence, responsibility, and continuity under pressure. In this book, Fernando Privat develops a rigorous framework for understanding how institutions, boards, governments, funds, and complex organizations can structure decision environments that remain functional even when uncertainty, scale, artificial intelligence, and competing incentives begin to erode human judgment. Rather than focusing on personalities or management trends, GOVERNANCE examines the architecture behind decisions themselves: how authority is distributed, how deliberation is structured, how incentives shape institutional behavior, how time horizons distort strategic thinking, and how organizations can preserve long-term continuity without collapsing into fragmentation or reactive short-termism. Grounded in contemporary research across governance, organizational behavior, systems thinking, institutional resilience, complexity science, and AI oversight — alongside real-world institutional dynamics observed across corporate, strategic, and high-responsibility environments — the book provides operational frameworks for designing governance systems that are adaptive, auditable, resilient, and humanly accountable. What makes this work distinctive is its ability to bridge institutional theory and practical architecture without falling into abstraction or technological hype. GOVERNANCE transforms governance from a vague managerial concept into a structural discipline: one that can be designed, stress-tested, audited, and continuously improved. At a time when artificial intelligence increasingly influences decisions but cannot assume responsibility for them, the central challenge of governance is no longer informational capacity.