CloudIQ Documentation
How Finitizer CloudIQ works, what it covers, and what to do with what it finds. New here? Start with What is Finitizer CloudIQ.
Introduction
What Finitizer CloudIQ is, how it works, and what a finding looks like.
- What is Finitizer CloudIQFinitizer CloudIQ finds cloud cost savings across AWS, Google Cloud and BigQuery, prices each one, prepares the change for your engineers, and tracks the saving until it is verified.
- How CloudIQ worksFour steps from a read-only connection to a saving you can prove: find the biggest opportunities, price each one, ship the change through engineering, and prove the result.
- What a finding looks likeWhat every CloudIQ finding contains, the families of checks that produce findings, and how a saving is estimated.
- CloudIQ and native cloud toolsWhat AWS and Google Cloud cost tools already do well, where they stop, and what CloudIQ adds on top of them.
- Frequently asked questionsShort answers to the questions evaluators ask most. What changes in our environment, how this differs from native tools, how fast, what it costs, and what is out of scope.
- GlossaryPlain definitions of the terms used across the CloudIQ documentation, from audit to verified.
Getting started
Connect your cloud accounts and get to your first priced findings.
Solutions
The four CloudIQ solutions: what each one looks for and what it delivers.
- Cloud Cost OptimizationFinds waste and design debt across AWS and Google Cloud, and prepares each fix for engineering review.
- Rate OptimizationCommitment planning for Savings Plans, Reserved Instances and committed use discounts sized to real usage, plus review of support fees, enterprise agreements and Marketplace spend.
- Data Cloud OptimizationBigQuery cost optimization from workload to query. Expensive queries, slot reservations, pricing model fit, table storage, and who is spending.
- Workload OptimizationFinds what to right-size, schedule, clean up or move to Spot across VMs, Kubernetes, serverless and AI workloads, and prepares each change.
Platform
How a finding ships, the security model, integrations, and the AI layer.
- From finding to fixHow an approved finding becomes a Terraform pull request, a runbook, or a Jira ticket, and how the savings ledger tracks it from identified to verified.
- Security and access modelWhat CloudIQ can access, what it cannot access, what it cannot do, what runs in your environment, how the read-only model is enforced, and how you verify and revoke it.
- Integrations and exportsWhere CloudIQ findings go. Jira, GitHub, Slack, email, an MCP endpoint for your own AI tools, CSV and PDF exports, and single sign-on.
- Fini and AI assistanceFini is the conversational cost analyst on every CloudIQ page. It explains the view you are on, investigates changes, drafts tickets and updates, and never acts without you.
- Connect an AI assistantAsk Claude, Cursor or VS Code questions answered from your own AWS and Google Cloud cost data, through the Finitizer MCP server.
Tokenomics Documentation
Finitizer Tokenomics: what your AI spend costs, who owns it, and what it returns.
- What is Finitizer TokenomicsFinitizer Tokenomics shows what your AI spend costs, who owns it, and what it returns, read from your own bills and exports.
- Data sources and accessWhere Finitizer Tokenomics gets its numbers, how each dollar is labeled, who can see what, and what Tokenomics cannot see.
- The seven screensEach screen in Finitizer Tokenomics, the question it answers, and what you find on it.