ALGORITHMIC PEOPLE MANAGEMENT

"Algorithmic People Management" is the systematic use of algorithms, data, artificial intelligence, and agentic AI systems to support, automate, augment, and sometimes make decisions across the entire people-management lifecycle. This comprehensive guide is organized into four core parts, a closing playbook, and an epilogue: Part One: Foundations – Traces the evolution of HR to autonomous systems, defines the Algorithm Function, rebuilds competency methodologies for the human-agent era and, the Human AI Workforce, New Roles, Relationships., human agent pairing. Part Two: Governance Infrastructure – Constructs a five-layer governance framework, complete accountability models (RACI), biometric statues, risk management, data stewardship, privacy, ethical standards, and rigorous bias-audit methodologies. Part Three: Algorithm in Practice – Examines operational depth across recruitment, global succession planning, BEI, performance management, reward decisions, learning governance, interview analysis tech, videos and AI compliance training. Part Four: Organizational and Human Implications – Addresses the shifting role of CHROs, board oversight under Delaware law, algorithmic anxiety, human in the loop, delegate controls, managing stress, and changed organizational leadership. The Algorithmic Charter & Epilogue – Delivers a 12-article governance playbook, a 12-month adoption pathway, and a direct research agenda for the next decade. Whether you are an HR leader, executive, or governance professional, this book provides the essential roadmap to navigate efficiency, scale, and ethics in the age of autonomous enterprise systems. Dr. Ganesh Shermon, of Andersen, KPMG, (XLRI, MIT Sloan School of Management, MSU) and four decades of consulting and academic teaching in competency based human resource management, builds a complete governance framework, the Algorithmic Charter, showing HR leaders how to extend the discipline into an agentic people management function.