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How It Works
A cloud audit examines your active cloud resources, billing data, and usage patterns across providers such as AWS, Azure, and GCP. The goal is to surface resources that are idle, oversized, untagged, or generating spend without a clear business purpose. Auditors typically review compute instances, storage volumes, database services, network egress, and commitment coverage. The output is a prioritized list of findings: unused resources to terminate, workloads to rightsize, tagging gaps to close, and commitment-based discounts to pursue. Some audits are run manually by FinOps or engineering teams; others are automated through cost management platforms that continuously scan billing data. Learn Best AI Agents for FinOps.
Why It Matters for Cloud Cost
Without a periodic audit, cloud waste accumulates invisibly. Development and test environments get forgotten. Instances run at sizes chosen years ago. Reserved capacity sits unused. By the time finance flags the bill, months of waste have already compounded. A cloud audit creates a clear baseline: what exists, what it costs, and what can be cut or optimized. It also establishes accountability by linking spend to teams and services through cost allocation and tagging. Organizations that skip regular audits tend to discover waste reactively, when budget pressure forces a scramble rather than a structured review.
ClearCost, Usage AI’s visibility and showback reporting layer, provides the cost visibility foundation that makes cloud audit findings actionable across teams and accounts.