AI-Driven Governance for AWS Cost Optimization

This document is a case study detailing the collaboration between a cloud platform consultant and Kyndryl to develop an AI agent for FinOps governance in an AWS environment. The objective of the project was to create a solution that would enable the consultant to dynamically optimize AWS cloud costs while managing their own resource usage effectively. The AI agent was trained to understand natural language prompts and utilize various AWS services, including AWS Cost Explorer and AWS Lambda, to provide real-time insights and recommendations for cost reduction. The case study outlines the technical challenges faced by the consultant, including the need for efficient governance without the resources to hire dedicated FinOps engineers. The implementation of the AI agent transformed the manual processes of cost management into a semi-autonomous system, resulting in a significant reduction in cloud operation costs by 15-20% within the initial weeks of deployment. This partnership exemplifies the potential of AI in enhancing operational efficiency in cloud environments.