AI-Enabled FinOps for Cloud Cost Optimization: Enhancing Financial Governance in Cloud Environments
Year: 2025
Type: article
Abstract: The integration of artificial intelligence with Financial Operations (FinOps) is revolutionizing cloud cost optimization for enterprises. This scholarly article explores how AI-enabled FinOps transforms financial governance in cloud environments by providing enhanced visibility, automated anomaly detection, and intelligent optimization recommendations. The evolution from reactive cost management to proactive governance models has enabled organizations to address challenges in cloud spending through sophisticated machine learning algorithms, predictive analytics, natural language processing, and deep learning applications. Implementation frameworks incorporating enterprise architecture principles, comprehensive data integration strategies, real-time monitoring systems, and effective change management practices are driving significant improvements across industry verticals. Case studies demonstrate varying levels of success across sectors, with documented implementation challenges and best practices providing valuable insights for organizations embarking on AI-FinOps journeys. The combination of technological capabilities with organizational strategies creates sustainable financial governance that supports both innovation and fiscal responsibility in increasingly complex cloud environments.
Author: Prasen Reddy Yakkanti
Institution: University of Houston - Clear Lake
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4410061876