FinOps Lead

Autonomous Savings Engine

Stop recommending. Start executing. CloudPi drives 87% execution through Autonomous, Approval-Gated, and Ticket + Enriched Context workflows with savings verified against the bill.

Persona FinOps Lead
Problem Recommendations pile up. Nobody acts. Savings stay theoretical.
Outcome Stop recommending. Start executing.

The problem

Your cost tool shows $930K in potential savings. Ninety days later, you have captured 18%. The rest is trapped in Slack threads, forgotten tickets, and "we'll get to it next sprint" promises. Your CFO stops trusting the number because it never shows up on the bill.

The problem is not detection. It is the gap between identifying waste and eliminating it.

How CloudPi fixes it

CloudPi does not just recommend. It executes - through three workflow modes, each matched to the risk:

Autonomous - Policy fires. CloudPi remediates instantly. No human in the loop. Audit entry written. Saving verified against the bill. Best for: idle dev instances, orphaned snapshots, unattached volumes.

Approval-Gated - Policy fires. Ticket auto-created in ADO, Jira, or ServiceNow with full context: resource ID, current cost, projected saving, remediation playbook. Owner approves with one click. CloudPi executes. Best for: production right-sizing, Savings Plan purchases, database modifications.

Ticket + Enriched Context - Policy fires. Ticket auto-created with everything the engineer needs to act: resource metadata, step-by-step fix, cost impact, and timeline. Engineer implements on their schedule. Best for: architecture changes, partner-managed workloads, CAB-gated environments.

The same policy can run in different modes per environment. Autonomous in dev. Approval-gated in staging. Ticket + context in production. One rule. Three levels of control.

What you get

MetricWithout CloudPiWith CloudPi
Recommendations surfaced1,3581,358
Actions executed248 (18%)1,181 (87%)
Verified monthly savings$14,200$67,500
Analyst time per month30+ hoursAutomated

TRUE Savings - not estimates

Every savings claim is verified by comparing actual billing data before and after the action. Three tiers, always reported separately:

  • Hard Savings - the bill went down (right-sizing, scheduling, terminations)
  • Rate Savings - same resources, lower rate (RI/SP purchases, EDP commitments)
  • Cost Avoidance - prevented spend (guardrails, scheduling shutdowns)

No mixing tiers. No inflated totals. Numbers your CFO will sign.

Features used

  • Policy-based recommendations
  • Workflow automation (Autonomous / Approval-Gated / Ticket + Enriched Context)
  • ADO / Jira / ServiceNow ticket integration
  • TRUE Savings verification
  • Automated FinOps reports
Next step

See 87% execution rate on your own recommendations. Book a Demo

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