Augmented Decision Intelligence: Leveraging AI and Predictive Analytics for Executive Strategy Formulation

Abstract

Executive strategy formulation, traditionally reliant on intuition and experience, increasingly integrates advanced analytical capabilities to navigate complex business environments. This paper examines Augmented Decision Intelligence (ADI) the convergence of AI, predictive analytics, and executive cognition as a transformative paradigm for strategic decision-making. Using a systematic literature review of 70 studies (2020–2023), the research explores Augmented Decision Intelligence (ADI), a paradigm combining artificial intelligence (AI) and predictive analytics to enhance strategic decision-making processes. ADI moves beyond simple data reporting, offering sophisticated foresight and prescriptive guidance for executives. We synthesize current research on AI-driven business analytics, predictive modeling, and their application in strategic contexts. Findings reveal that organizations adopting ADI achieve up to 20–30% gains in forecast precision and improved strategic agility through data-driven modeling. Furthermore, the document identifies technical, organizational, and human barriers to ADI implementation, proposing mitigation strategies, including addressing data quality and integration challenges. Ultimately, this work outlines the implications for theory and practice, providing recommendations for organizations seeking to leverage ADI for sustainable competitive advantage. It concludes with recommendations for embedding ADI into executive workflows and future research directions in explainable, adaptive, and ethical AI for strategic management. It underscores the transformative potential of AI and predictive analytics in shaping the future of executive strategic governance.