Watch our agentscut cloud spend in real time
Autonomous AI agents that continuously audit your AWS spend, flag underutilized EC2 and RDS resources, and recommend savings — no manual cost reviews required.
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From Idle Spend to
Tracked, Applied Savings
No end-of-month spreadsheet audit. The agent watches spend continuously and closes the loop from waste detected to waste eliminated.
Continuously Scan Spend
The agent ingests usage and billing data around the clock, building a live picture of what's actually running versus what's actually needed.
Detect Waste & Anomalies
Idle instances, oversized volumes, orphaned resources, and unexpected cost spikes are flagged the moment they appear — not at the end of the month.
Recommend Right-Sizing
Every finding comes with a concrete action — resize, schedule, switch to a savings plan, or shut down — ranked by potential impact.
Apply & Track Savings
Approved changes are applied automatically, and the agent keeps watching so spend doesn't quietly creep back up.
Every Line Item,
Watched Continuously
The agent doesn't stop at one resource type — here's a representative slice of where it finds savings across your cloud bill.
Compute
Idle and oversized EC2, GCE, and Azure VM instances, plus scheduling for non-prod workloads.
Containers
Over-provisioned Kubernetes node pools and pods requesting more than they use.
Databases
Underutilized RDS, Cloud SQL, and Azure SQL instances, and storage that's outgrown its tier.
Storage
Unattached volumes, aging snapshots, and objects sitting in the wrong storage class.
Serverless
Over-allocated memory and timeout settings on Lambda, Cloud Functions, and Azure Functions.
Networking
Idle load balancers, unused elastic IPs, and cross-AZ or cross-region data transfer costs.
Commitments
Reserved Instance and Savings Plan coverage gaps versus actual, sustained usage.
Budgets & Alerts
Real-time budget thresholds and anomaly alerts so spend spikes surface immediately, not at invoice time.
A Cloud Bill That
Only Reflects What You Use
Waste gets caught before it compounds, right-sizing happens continuously instead of during a quarterly review, and every recommendation is tied to a specific resource — not a rough estimate.
Key Outcome
Cost governance that runs continuously in the background — so savings come from what the environment actually needs, not a one-time cleanup.
Illustrative trend — actual savings depend on your environment's current utilization and the recommendations you choose to apply.
Trusted by forward-thinking teams
Ready to Stop
Paying for Idle Cloud?
Talk to our FinOps team about continuous cost visibility, automated right-sizing, and savings that get tracked, not just estimated.