An autonomous AI agent built to eliminate cloud waste and deliver instant ROI. It continuously scans multi-cloud environments across AWS, Azure, and GCP to detect idle resources, oversized instances, and unused reservations. Under strict guardrails, it takes safe, autonomous actions such as rightsizing, scheduling, and storage tiering, ensuring zero production risk. The agent reports verified savings in real time through a live ROI dashboard, proving value within days. Finance and operations teams gain measurable cost reduction without manual effort, dashboards, or delays, transforming cloud cost management from reactive reporting to autonomous optimization.
Why Agentic AI Transforms Cloud Cost Management?
Traditional cloud cost optimization relies on dashboards and manual reviews, leaving waste undetected and action delayed. Idle resources, oversized instances, and unused reservations continue to drain budgets while teams chase reports instead of savings. Cloud Waste Hunter & Rightsizer AI Agent breaks this cycle through continuous detection, autonomous rightsizing, and real-time savings verification, transforming cloud cost management from static reporting to proactive, intelligent optimization that delivers measurable ROI in days.
Autonomous Discovery
AI agents continuously scan multi-cloud environments to uncover idle, oversized, and underutilized resources, eliminating waste without manual audits.
Intelligent Optimization
Dynamic algorithms rightsize compute, storage, and reservations in real time, maximizing efficiency while maintaining full production safety and compliance.
Real-Time Savings
Autonomous actions generate measurable cost reductions instantly, with live ROI dashboards that prove impact and sustain long-term FinOps discipline.
Key Characteristics
An autonomous AI agent designed to scale cloud cost savings through detection, optimization, and continuous ROI reporting.
Waste Detection & Elimination
Goes beyond visibility, identifying idle VMs, oversized instances, unused reservations, and storage inefficiencies across AWS, Azure, and GCP, helping teams cut unnecessary spend immediately.
Autonomous Actions & Risk Management
Executes safe, automated optimization such as rightsizing, scheduling non-prod workloads, storage tiering, and reservation adjustments, under strict guardrails and rollback policies to ensure production workloads remain risk-free.
Continuous Optimization Loop
Uses real-time feedback from executed actions to refine rightsizing, scheduling, and storage tiering policies automatically, improving efficiency and savings quality over time.
End-to-End ROI Visibility
Interactive dashboards report hard-dollar savings in real time, tracking total savings, trends, and efficiency improvements so teams can measure the impact of every action immediately.
Implementation Flow
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