FinOps AI connects to your Azure, AWS, and GCP accounts, automatically detects orphaned snapshots, zombie VMs, idle IPs, and unattached disks — then uses machine learning to forecast how much money you're burning. Average savings: 30%.
FinOps AI automates the entire FinOps lifecycle. Here's exactly what happens under the hood when you run a single command.
FinOps AI connects to your clouds using your existing credentials — Azure CLI, AWS IAM roles, or GCP service accounts. Zero passwords stored. It auto-detects your authentication method so setup takes seconds, not hours.
The engine crawls through every subscription, region, and project — checking 14+ resource types including snapshots, disks, VMs, IPs, NICs, load balancers, RDS instances, and storage buckets. Each resource is evaluated against multiple orphan-detection heuristics.
Scanned resources flow into an Isolation Forest ML model that learns your infrastructure's normal patterns. It automatically flags statistical outliers — like a 5TB premium SSD sitting idle for 3 days — that humans would miss in a spreadsheet of 10,000 resources.
Before recommending any deletion, the NetworkX dependency graph traces every relationship between resources. A "detached" IP that looks orphaned might actually be reserved by a load balancer. FinOps AI ensures you never delete something still in use.
Historical cost data feeds into Meta's Prophet time-series engine to predict your cloud bill 30, 60, and 90 days out if waste isn't addressed. Each resource gets an effort/risk score so your team knows exactly what to fix first for maximum ROI.
Results land in your hands via a beautiful dark-themed HTML dashboard, JSON/CSV exports for pipelines, or real-time Slack notifications that ping your engineering channel. Governance policies auto-trigger approval workflows or instant remediation.
Cloud waste accumulates silently. FinOps AI catches it before it hits your monthly invoice.
For a mid-size company running 500+ cloud resources across two providers, FinOps AI typically uncovers six-figure waste in the first scan.
Install, authenticate, scan. No complex setup wizards, no agents to deploy, no infrastructure changes. Three commands and you see waste in real time.
The dependency graph ensures every resource marked for deletion is truly orphaned. No accidental outages, no angry 3am pages from prod.
From automated scanning to AI-powered forecasting — enterprise-grade tooling for multi-cloud cost optimization.
Unified interface for Azure, AWS, and GCP. One command scans all your environments simultaneously.
Isolation Forest anomaly detection spots unusual spending. Prophet forecasts costs with confidence bands.
YAML-driven governance with custom conditions, approval workflows, and automated enforcement.
Prioritized, actionable insights with effort/risk ratings. Know exactly what to fix first.
NetworkX-powered resource dependency analysis ensures safe deletion — never remove resources in active use.
Beautiful dark-themed HTML dashboards, JSON, CSV exports, and real-time Slack notifications.
Click + Rich powered terminal with color-coded output, live progress bars, and formatted tables.
Full programmatic API. Import any manager, authenticate, and integrate into your automation pipelines.
Deep integration with 14+ resource types across Azure, AWS, and GCP.
Whether you prefer the CLI, Python SDK, or YAML policies — FinOps AI fits into your existing workflow seamlessly.
# Install with all providers + ML $ pip install finops-ai[all] # Generate config $ finops-ai init # Scan Azure $ finops-ai scan --provider azure # Scan everything with HTML report $ finops-ai scan --provider all \ --output html --report dashboard.html
from finops_ai.core.auth_manager import AuthManager from finops_ai.providers.azure.snapshot_manager \ import AzureSnapshotManager # Authenticate and scan credential = AuthManager.get_azure_credential() manager = AzureSnapshotManager(credential) result = manager.scan() print(f"Found {result.total_count} orphans") print(f"Savings: ${result.total_monthly_cost:.2f}/mo")
# finops-ai.yaml providers: azure: enabled: true auth: method: cli aws: enabled: true regions: [us-east-1] ml: enabled: true anomaly_detection: true cost_forecasting: true
Open-source core with premium features for teams that need real-time monitoring and automation.
Join hundreds of engineers who already trust FinOps AI to optimize their multi-cloud spend.