ARTIFICIAL INTELLIGENCE AND AUGMENTED DECISION-MAKING: MACHINE LEARNING INTEGRATION IN STRATEGIC PLANNING, RISK ASSESSMENT, AND PERFORMANCE OPTIMIZATION

Abstract

This research examines the transformative role of artificial intelligence (AI) in augmenting organizational decision-making processes across strategic planning, risk assessment, and performance optimization. Through analysis of market data, implementation case studies, and empirical evidence from 2020-2024, this study reveals significant growth in AI adoption, with 78% of organizations now using AI in at least one business function, up from 55% in early 2023. The global AI market, valued at $391 billion in 2024, is projected to reach$1.81 trillion by 2030, representing a 35.9% CAGR. Key findings demonstrate that AI-augmented decision-making processes deliver substantial improvements: 20-30% gains in productivity, enhanced risk detection rates of up to 87%, and reduced strategic planning time from weeks to days. However, implementation challenges persist, with only 1% of organizations considering themselves mature in AI deployment. This research provides a comprehensive framework for understanding AI's impact on decision-making while identifying critical success factors, implementation barriers, and future opportunities for organizational transformation