The AI-powered future of digital transformation: enhancing organizations and leadership development
Martin Sposato, Eduardo Carlos Dittmar
Abstract
Purpose This paper examines the integration of AI-enhanced coaching systems into traditional organizational development practices and develops a comprehensive theoretical framework to understand these complex interactions. Design/methodology/approach A narrative literature review synthesizes theoretical perspectives and empirical studies at the intersection of digital transformation and coaching practices. This review systematically examines multiple theoretical frameworks related to human–technology collaboration in organizational contexts. Findings The research establishes a theoretical framework comprising four interconnected domains: cognitive amplification, collaborative learning, ethical governance and adaptive evolution. Three hypothetical case studies demonstrate the practical application of this framework across diverse organizational settings, revealing both challenges and opportunities in implementing AI-enhanced coaching initiatives. Practical implications Organizations implementing AI-enhanced coaching must develop comprehensive integration strategies, establish robust ethical governance frameworks, transform coaching roles, assess organizational readiness, design balanced coaching programs, develop new evaluation metrics and establish appropriate supervision mechanisms. Originality/value This paper offers the first comprehensive theoretical framework specifically addressing the integration of AI technologies in coaching practices, synthesizing distributed cognition theory, complex systems thinking, and social cognitive theory to provide a foundation for future research and practice in this rapidly evolving field.