Turning Manual Cloud Cost Reviews into Automated, Safe-by-Default Savings

Every public cloud account leaks money - idle databases, unattached storage, oversized compute, and forgotten endpoints accumulate quietly across accounts, whether the environment runs on AWS, Azure, or GCP. Cloud teams knew the waste existed, but finding it meant running checks account by account and provider by provider, validating it meant risking something production-critical, and acting on it meant hours of manual review before every cleanup.

Key Challenges Included:

• Budget Pressure at Scale
  Inefficient resource utilization across dozens of cloud services drove steady, hard-to-track budget overruns.

• Advisory-Only Native Tooling
  Native tools like AWS Trusted Advisor, Azure Advisor, and GCP Recommender could surface savings but couldn't act - every fix still required a manual click.

• Fragmented Multi-Account, Multi-Cloud Visibility
  Waste was scattered across accounts and, in many organizations, across cloud providers - with no centralized way to see or act on it as one estate.

• Risk of Manual Remediation
  Deleting the wrong volume, snapshot, or endpoint carried real risk, so teams often left low-confidence waste untouched rather than act on it.

• No Plain-Language Justification
  Cost findings arrived as raw usage data - with no explanation a non-engineer could use to approve or act on a recommendation.