Harness's Policy-Based Cloud Cost Optimization Recommendations Engine is a customizable and scalable solution designed to enhance cloud cost efficiency across AWS, Azure, and Google Cloud environments. Leveraging YAML-based policies powered by Cloud Custodian, the system allows organizations to define and execute cost-saving rules tailored to their unique requirements. It provides a unified approach to cost management by automatically applying policies that detect and address cost inefficiencies without relying solely on vendor-specific recommendations, thus avoiding vendor lock-in. This engine continuously analyzes cloud resources, estimates potential savings, and delivers actionable recommendations, making the cost-saving logic transparent and adaptable to new resources and accounts. By integrating detailed billing and usage reports from cloud providers, the system calculates cost savings and generates data-driven insights to optimize cloud spending. Developed by Anmol Maheshwari at Harness, this tool aims to help organizations reduce unnecessary cloud expenses, enabling them to reinvest savings into growth and innovation while maintaining transparent and automated cost management.