ISSN:2582-5208

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Paper Key : IRJ************397
Author: Judith U. C Nwoke
Date Published: 13 Apr 2025
Abstract
ABSTRACTIn the face of economic volatility, rapid technological evolution, and shifting consumer expectations, corporations are under increasing pressure to become more agile, data-driven, and resilient. Traditional models of strategic planning are proving inadequate in responding to dynamic markets and high-frequency disruption. Artificial Intelligence (AI), with its capacity to analyze complex data patterns, anticipate risk, and automate insights, is revolutionizing how companies formulate and execute growth strategies. This paper explores the convergence of three core AI-driven capabilitiesoptimization, risk intelligence, and insight automationas enablers of agile corporate growth. AI-powered optimization leverages real-time analytics, machine learning, and predictive modeling to streamline decision-making, improve resource allocation, and enhance operational efficiency. Risk intelligence incorporates AI algorithms to detect anomalies, simulate market uncertainties, and assess operational vulnerabilities with greater speed and precision than traditional risk management frameworks. Meanwhile, insight automation enables faster and more scalable synthesis of structured and unstructured data, delivering timely strategic foresight across departments, markets, and stakeholder ecosystems. The integration of these AI capabilities allows enterprises to pivot strategies rapidly, personalize offerings at scale, and maintain competitive advantage in increasingly saturated markets. Case studies from finance, manufacturing, and retail sectors illustrate how leading organizations are embedding AI into core strategic processes, from supply chain optimization to customer lifecycle management. The paper concludes by recommending an AI adoption framework that emphasizes ethical governance, cross-functional collaboration, and continuous learning to support sustainable, innovation-led growth.Keywords: AI optimization, risk intelligence, insight automation, corporate agility, strategic innovation, data-driven growth
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