Tamuka Mavenge Moyo

Artificial intelligence has become a strategic priority for organizations across industries, yet many AI initiatives fail to deliver sustained value. Despite significant investment in tools, talent, and data, organizations frequently encounter stalled pilots, limited scalability, and outcomes that fall short of expectations. The AI Readiness Framework addresses this gap by shifting the focus from algorithms to organizational preparedness.
Rather than treating AI as a purely technical challenge, the book presents readiness as a measurable, multi-dimensional condition that must exist before AI systems can be deployed responsibly and effectively. The framework introduces six foundational pillars of AI readiness: strategy, data, technology and infrastructure, organizational capability, governance and risk, and execution and scaling. Together, these pillars provide a structured method for assessing whether an organization is prepared to adopt artificial intelligence and for identifying the constraints that must be addressed first.
Written from a practitioner's perspective, the book guides readers through readiness assessment, scoring, and interpretation, and demonstrates how readiness considerations apply across regulated and resource-constrained environments such as healthcare, agriculture, energy, and enterprise operations. It emphasizes disciplined decision-making, risk reduction, and alignment between ambition and operational reality.
This book is intended for leaders, advisors, and practitioners responsible for AI strategy and execution who seek a practical, framework-driven approach to building sustainable AI capability rather than pursuing isolated experimentation.