CloudKnife is a FinOps platform for Azure that goes beyond recommending cloud cost savings by executing them. Its AI agents analyze what each Azure resource is, how it is actually used, and what it is allowed to become, while a deterministic rules engine validates every recommendation against hard constraints — for example, ensuring SAP VMs only receive SAP-certified options. Users review and approve each change, and CloudKnife handles the implementation from start to finish.
CloudKnife
Cut your cloud bill, not your performance

CloudKnife Introduction
Key Features
- AI agents that learn the purpose and real usage of every Azure resource
- Deterministic rules engine that checks recommendations against hard constraints
- SAP-certified option enforcement for SAP VMs
- Human-in-the-loop approval before any change is executed
- End-to-end execution of approved cost optimizations
Use Cases
- Reducing Azure cloud spend without sacrificing application performance
- Automating resource right-sizing while enforcing compliance rules
- Freeing engineering teams from manual cloud cost optimization work
Why Startups Use It
CloudKnife lets lean teams cut Azure costs without dedicating engineering time to manual optimization. AI agents do the analysis and execution, a rules engine keeps changes compliant, and approval flows keep founders in control.
Frequently Asked Questions
What does CloudKnife do?
CloudKnife analyzes Azure resources to determine what they actually need, generates evidence-based cost optimization recommendations, validates them against hard rules, and executes approved changes end to end.
How does CloudKnife ensure recommendations are safe?
A deterministic core checks every recommendation against hard rules — for example, SAP VMs only receive SAP-certified options — and no change is executed without user approval.
Which cloud provider does CloudKnife support?
CloudKnife focuses on Azure.
More About CloudKnife
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