A Practical Book on Artificial Intelligence

Overview The book is a practitioner's guide to putting artificial intelligence into productive use inside organisations. Its argument is that the bottleneck is no longer model capability but adoption: access to a powerful model is not by itself a durable advantage, and lasting value comes from connecting models to proprietary context, real workflows, appropriate controls, operational ownership, and measurable outcomes. The manuscript works that thesis through the full stack, from how large language models behave to how agent systems are governed, operated, and paid for. The author states the promise plainly: after reading it, a practitioner should be better able to choose the right AI use cases, explain how modern AI systems behave, design architectures that reduce failure modes, apply governance without blocking progress, and move from prototypes to production with clear controls and measurable value. The treatment is deliberately non-mathematical, introducing the concepts without requiring a mathematical background, while remaining technical enough for the architects and engineers who have to ship. Two qualities distinguish the manuscript in a crowded category. First, it sits between the research book and the executive book, addressing the architects, engineers, product owners, and team leads who, as the author puts it, are often left to figure things out on their own. Audience The stated readership is practitioners responsible for bringing AI into real-world organisations: enterprise architects integrating AI into business processes, developers building intelligent applications, IT and platform teams enabling AI services, product owners designing AI-driven workflows, governance and compliance professionals evaluating risk, and leaders responsible for operational transformation. The breadth is intentional, since the author argues that building responsible enterprise AI is a team sport requiring a shared vocabulary, and a reader-pathways table early in the book routes each role through the chapters that matter most to it.