Generative AI and Agentic Systems in Accounting

Generative and agentic AI are transforming accounting, not just by automating routine tasks, but by reshaping the structure and strategy of roles, teams, and decision-making across the profession. This book explores how these rapidly evolving technologies are already being applied in audits, financial reporting, advisory services, and internal controls. It offers a clear, non-technical overview of large language models (LLMs), generative and agentic AI systems, alongside practice-based insights into adoption trends, implementation strategies, and evolving governance practices. Readers will gain practical tools to evaluate risk, ethical considerations, talent readiness, and organizational fit. The book also examines where these technologies create value, how to implement them responsibly, and what educators must do to prepare the next generation of accountants. It concludes with a forward-looking discussion on how the profession can lead, rather than simply react to this era of AI-driven change. Drawing on emerging research, professional practice insights, and interviews with firm leaders, the book translates complex developments into actionable frameworks. It bridges the gap between innovation and daily practice through real-world use cases, ethical risk analysis, and attention to the shifting priorities of practitioners, firms, educators, researchers, and regulators. Concise, timely, and practical, this guide is written for a profession in the midst of rapid transformation. It is designed to be accessible for practitioners while serving as a strategic resource for educators and firm leaders shaping the accounting workforce for the next decade.