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FinOps Control Plane

Maximize cloud ROI without sacrificing operational control.

TurboFinOps unifies VM Scheduling, AI Usage Monitoring, multi-cloud optimization, and executive reporting in one interface built for fast decisions, not dashboard fatigue.

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Sample metrics below are illustrative, modeled on product workflows already in repo.

Trusted Multi-cloud Coverage

Amazon Web ServicesMicrosoft AzureGoogle Cloud

Smart VM Scheduling

Stop resource waste with automated scheduling and policy rollback in a single workflow.

  • Policy manager with time windows, active days, and exceptions
  • Estimated monthly savings for each scheduling candidate
  • Version history and rollback support for risky changes
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AI Usage Monitoring

Control OpenAI and Anthropic costs before they spike, with clear usage and anomaly visibility.

  • Usage API connections for OpenAI and Anthropic
  • Dedicated cost and volume panel for AI workloads
  • Alerts for usage spikes and abnormal trends
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Multi-cloud Optimization

Prioritize high-impact financial insights across AWS, Azure, and GCP without switching tools.

  • Cross-provider normalized discovery and findings
  • Rightsizing, zombie resources, and commitment optimizer
  • Unified action, approval, and audit trail workflow
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Executive Reporting

Deliver clear reporting for FinOps, Engineering, and Audit without manual, time-consuming exports.

  • Asynchronous CSV/JSON exports for findings, logs, and resources
  • Audit-ready evidence for state-changing operations
  • Executive, operations, and risk boards for faster decisions
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Savings Calculator

Estimate VM Scheduling Impact

This formula uses the scheduling board savings model (`~45%` for eligible candidates).

Current monthly spend

$21,600

Estimated monthly savings

$9,720

Post-optimization monthly

$11,880

Annual savings potential

$116,640

Multi-cloud Toggle

Inspect Impact by Provider

AWS Snapshot

Idle / schedulable resources

27

Optimization findings

93

Estimated monthly savings

$18,420

AI monthly cost tracked

$12,480

Real-time Style Mock Dashboard

What cloud teams see in the first minutes

Sample live board

Monthly cloud spend

$241,900

down 9.8% vs previous period

Savings identified

$42,550/mo

31 actions with positive ROI

AI cost watch

$30,540/mo

2 anomalies detected in last 24h

Policy compliance

92.4%

tagging and guardrail coverage

Savings trajectory (last 6 weeks)

Modeled from rightsizing + scheduling + commitment optimizer workflow.

Action queue highlights

  • Approve VM schedule policy for non-prod pools
  • Execute 12 rightsizing recommendations
  • Investigate OpenAI token spike in staging workload

Less dashboard noise. More decisions that reduce cloud cost in measurable ways.

Start with one scope, measure impact, then expand across every account. Every action stays auditable.

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