CloudIvy FinOps agent
Cloud spend, made predictable.
CloudIvy connects AWS and GCP cost data to the teams who can change the outcome, before forecast becomes a surprise.
Deploy a FinOps agent ↗FinOps workspace
Cloud cost, translated into the next best decision.
The agent keeps forecast, ownership and approved work in one operational view, so teams can act before an avoidable cost becomes a surprise.
Ask the FinOps agent
Answers with the cost context your team needs.
Teams can ask what changed, where to act and who owns the decision. The agent grounds every answer in current billing, usage and allocation data.
Why did the 30-day forecast move?
EKS compute added $8.6k after demand rose. 14 idle worker nodes are still available for review.
What can we optimize this week?
Start with non-production EKS capacity and unattached storage. Estimated reviewed opportunity: $6.2k per month.
Which team owns this cost?
Platform owns the EKS action. The recommendation is routed to its existing approval path with the forecast impact attached.
Connected cloud estate
How the agent works
Cost data becomes a clear, owner-ready alert.
When forecast or spend crosses a guardrail, the agent explains the signal and delivers the next step to the people who own it.
To: platform@company.com
Action required: EKS worker capacityForecast moved by +2.3%. 14 idle nodes are ready for review before the next commitment window.Owner Platform team Impact Capacity reviewConnect the signals
Ingest billing exports, resource tags, utilization and service ownership from AWS and GCP.
Forecast and detect
Track expected spend, anomalies, idle capacity and commitment coverage as conditions change.
Route the decision
Package impact, owner and recommended action for the team that has context to approve it.
Execute and learn
Run approved work through tickets, pull requests or runbooks and compare the forecast with reality.
Deployed with your team
We build the operating model around how you already ship.
Set the control boundary
Agree accounts, products, owners, budgets and which actions need a human decision.
Make the forecast credible
Model workload patterns and business context so the agent can separate a real change from normal variation.
Turn recommendations into delivery
Send a review-ready action to the right engineering workflow, with CloudIvy staying involved through handover.
Human control by design
The agent prepares the work. Your team decides what runs.
We define policy thresholds, approval paths and audit-friendly context before any cost change becomes an action.
CloudIvy FinOps agent