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n a world marked by geopolitical instability, accelerated automation, and decisions increasingly driven by algorithms, one unavoidable question emerges:
How can Artificial Intelligence be used without losing control over it?
This book introduces IMOAI (Intelligent Management of Artificial Intelligence), an intelligent management and governance model created to overcome the limitations of traditional frameworks in highly automated, AI-driven digital environments.
Based on an academic and professional trajectory that began in 2007 and updated for the challenges of 2026, IMOAI integrates and expands well-established practices such as:
ITIL
MOF
COBIT
PMI
ISO/IEC 27001 and 27002
Agile, Lean, and DevOps
Rather than merely presenting frameworks, this book explains why they fail when applied in isolation and demonstrates that complexity cannot be eliminated, only governed.
The model addresses critical dimensions such as:
Information security
Governance and risk management
Integration between human and algorithmic decision-making
Continuous learning and adaptive cycles
Results maximization
IMOAI is not software, nor just another technical framework.
It is a governance model for living decision systems, capable of balancing autonomy and control, innovation and responsibility, efficiency and security.
Aimed at managers, IT leaders, governance professionals, information security specialists, and strategists, this book demonstrates why failing to govern Artificial Intelligence is no longer a technical flaw, but a high-risk strategic decision.
Artificial Intelligence must be a strategic ally, not a dominant force.
The true differentiator remains human judgment: thinking, deciding, creating, and governing.
This book does not close the debate.
It establishes a new paradigm for governing Artificial Intelligence at scale, with responsibility, sustainability, and a clear focus on real-world results.
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