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Jira

Cost Intelligence That Turns Into Engineering Action

CloudZero surfaces anomalies, waste, and AI spend past budget and turns them into Jira work items with full cost context. Engineers can fix what matters and finance can prove ROI.

Every Cost Finding Gets an Owner

CloudZero identifies anomalies and optimization recommendations with full business context: which team, which service, what it’s costing. Jira integration creates a work item from any finding in one step, with that context attached.

Finance Stays in CloudZero, Engineering Stays in Jira

After a work item is created from a CloudZero finding, its status syncs back automatically. Finance sees what’s resolved without needing Jira access. Engineering sees what’s open without leaving their backlog. Both teams stay in their own tool.

Realized Savings, Not Theoretical Ones

Optimization recommendations only save money when someone owns them. CloudZero surfaces rightsizing opportunities and waste across AWS, Azure, and GCP, and the Jira integration assigns them. Leadership reports realized savings and the work to show for it.

Turn AI cost intelligence into engineering work

Cost Intelligence Inside the Ticket

Work items from CloudZero carry the specific insight: what’s wasteful, how much it costs, which AI service or team owns it. Engineers get what they need to act, already in the ticket.

Every AI Cost Spike Gets an Owner

CloudZero detects AI cost anomalies in real time, converting each one into a Jira work item with cost context. It identifies what spiked, by how much, and which AI service. Anomalies get an owner before the spend grows.

Savings That Finance Can Stand Behind

A work item’s status syncs back to CloudZero automatically. Finance sees what’s resolved. Engineering stays in their backlog.

As we continue to expand our AI capabilities, understanding the direct correlation between our AI investments and business outcomes is critical. CloudZero has been instrumental in providing the granular visibility we need to optimize our AI infrastructure costs while maintaining our service quality. The enhancements to CloudZero strengthens our ability to make data-driven decisions about AI investments, ensuring we deliver maximum value to our customers while maintaining healthy unit economics.

Josh Collier

A Finance Leader at Superhuman

Used granular allocation to optimize AI infrastructure costs