Name: Munish Goyal, Rohin Malhotra
Country: India

Year: 2026
Volume: Volume-13, Issue-1 (January-June)
Page Number: 311-322
DOI: https://doi.org/10.5281/zenodo.20663882

This paper investigates the profound impact of artificial intelligence (AI) on corporate
strategic planning and enterprise decision-making. As business environments become
increasingly complex and volatile, traditional human-centric planning methodologies
frequently fail to process market data with sufficient speed and accuracy. To address this challenge, we explore how computational frameworks can synthesize probabilistic reasoning, creative problem-solving, and explainable models to generate trustworthy strategic advantages. We propose a comprehensive, multi-layered architecture that bridges the gap between raw algorithmic output and executive action. Ultimately, this research provides a theoretical and practical roadmap for deploying transparent, adaptable, and highly optimized AI systems within the modern corporate suite.