AIREA: An AI-Driven Optimization Framework for Intelligent Automation in Large-Scale Enterprise Systems

<p>Cloud computing has become the foundation of modern enterprise infrastructure, enabling unparalleled scalability, flexibility and cost efficiency. However, as cloud adoption accelerates, enterprises face critical challenges in sustainability, governance and performance optimization. Existing cloud architectures fail to balance energy efficiency, compliance with global ESG mandates and workload optimization in multi-cloud environments. This paper introduces a novel strategic framework for ESG- compliant cloud computing, integrating AI-driven energy optimization, decentralized governance models and predictive cloud workload distribution to achieve unprecedented efficiency and regulatory alignment. Unlike traditional studies that focus exclusively on sustainability goals or performance trade-offs, this research pioneers a multi-dimensional approach, demonstrating how enterprises can achieve carbon footprint reduction, workload efficiency and governance compliance simultaneously.</p>