Boards today are operating in the most volatile governance environment in modern history, defined by rapid technological change, AI-driven decision-making systems, geopolitical instability, regulatory scrutiny, and rising stakeholder expectations. This book addresses why traditional governance models fail under pressure and how boards must evolve to remain effective, resilient, and credible.

Drawing on cutting-edge research and two decades of executive and boardroom experience, this book introduces a connected governance model that integrates network science, AI oversight, cognitive diversity, and crisis preparedness. Rather than treating governance as a static compliance function, this book reframes it as a dynamic leadership system that depends on how boards process information, manage interdependencies, and anticipate emerging risks.

Through in-depth case studies of Silicon Valley Bank, Boeing, OpenAI, FTX, Signature Bank, and First Republic, the book reveals common governance breakdowns and extracts actionable lessons for directors and executives to avoid similar failures. Readers are guided through practical tools for board mapping, artificial intelligence (AI) risk oversight, data-driven self-assessment and scenario-based decision-making.

Written for directors, senior executives, and governance professionals, Board Governance Rewired serves as both a diagnostic guide and implementation playbook. It equips readers with immediately usable frameworks to strengthen board effectiveness, enhance resilience, and deliver ethical, future-ready governance in an age of constant disruption.

Introduces a novel governance model grounded in network theory, AIrisk oversight, and crisis resilience Offers AI checklists, board mapping frameworks, decisionquality diagnostics, and scenarioplanning templates Combines evidencebased insights with realworld applicability, rooted in author's executive leadership background

Autorentext

Rajendra Prasad Gangavarapu is an established executive, board advisor, and academic who brings over two decades of senior leadership experience in financial services, fintech, and regulated industries, having held executive roles at several banks. His work sits at the intersection of board governance, AI oversight, risk management, and executive decision-making. He is an author of Mastering AI Governance published by Springer. He earned his doctorate from Georgia State University. He was recognized among the 100 Most Influential AI Leaders in 2024.

Inhalt

Part I: Foundations of Connected Board Governance.- Ch 1: The Networked Board Beyond Independence.- Ch 2: The Connected Board Governance Framework Theory, Architecture, and Crisis Test.- Ch 3: The Economics of Connectedness How Board Networks Create Resilience.- Ch 4: The Evidence for Connected Governance What Research Supports and What It Does Not Prove.- Ch 5: Building the Connected Board Operating Model, Tools, and Director Practices.- Part 2: Governing in the Age of Disruption.- Ch 6: Digital Transformation and Board Oversight.- Ch 7: Generative AI and Agentic AI Governance.- Ch 8: ESG, Stakeholder Capitalism, and Systemic Risk.- Ch 9: The Chair-CEO Dynamic in Turnaround and Crisis Contexts.- Part 3: From Framework to Practice.- Ch 10: Applying the Connected Board Governance Framework.- Ch 11: Board Network Mapping and Centrality Analytics.- Ch 12: AI-Augmented Governance: Tools and Diagnostics.- Ch 13: Board Self-Assessment and Performance Measurement.- Part 4: Case Applications.- Ch 14: Silicon Valley Bank Revisited: A Connected Governance Lens.- Ch 15: Boeing: Network Failure and Oversight Breakdown.- Ch 16: OpenAI: Mission Governance in AI Organizations.- Ch 17: FTX: Governance Collapse in Hyper-Growth.- Ch 18: Lessons Across Cases: A Comparative Diagnostic.- Ch 19: Toward Adaptive, Evidence-Based Board Leadership.