CloudYali is a cloud FinOps platform that helps engineering, finance, and FinOps teams monitor cloud costs and systematically implement savings recommendations across AWS, GCP, Azure, CDN providers, and AI services like OpenAI and Anthropic. Most cloud cost management tools focus on cost visibility — showing teams where money is being spent and where waste exists. CloudYali covers that ground but extends further into the implementation layer, addressing the gap between identifying savings opportunities and getting engineers to act on them. Industry data shows the average cloud savings recommendation takes 31 days to implement, and fewer than half ever get done. CloudYali is built to compress that timeline by enriching recommendations with the context engineers need to take action confidently. Key features and capabilities include: Multi-cloud cost visibility across AWS, GCP, Azure, CDN providers (Fastly), and AI API services (OpenAI, Anthropic), with real-time dashboards, cost allocation, and anomaly detection that surfaces unexpected spend spikes. Contextualized recommendations that go beyond flagging underutilized resources. Each recommendation is enriched with resource ownership, activity verification through CloudTrail data, utilization metrics with peak and trough patterns, and effort-vs-savings scoring so engineers can evaluate and act in minutes rather than hours. Workflow integration with Jira and Slack that routes recommendations to the right engineer with full context, eliminating the manual triage step where most savings opportunities stall. Implementation tracking and realized savings measurement that lets FinOps teams track every recommendation from identification through completion, and verify that projected savings actually materialized in the cloud bill. Team scorecards and executive reporting that give engineering managers visibility into their team's optimization progress, and give CFOs and finance leaders a clear line of sight into cloud cost efficiency, savings realized, and ROI on optimization efforts. CloudYali is designed for mid-market organizations. The primary users are FinOps practitioners who need to drive measurable savings outcomes, platform engineering leads who need cost optimization integrated into existing developer workflows, CFOs and finance leaders who need visibility into cloud spend efficiency and savings realization, and engineering leaders who need to track ROI on optimization efforts. Common use cases include identifying and eliminating idle cloud resources, rightsizing over-provisioned instances, improving reserved instance and savings plan coverage, cleaning up orphaned storage volumes, scheduling non-production environment shutdowns, and tracking AI API costs. The platform is available with a free tier for cost visibility, with paid tiers adding the action and implementation tracking capabilities.