Understand what is in use
Explore explanations of cloud resources alongside their costs, rather than starting in separate vendor portals.
Use AI-assisted explanations to make sense of cloud resources and their costs across Azure, AWS and Google Cloud. Give technical and non-technical teams a starting point for better questions and decisions.

Explore explanations of cloud resources alongside their costs, rather than starting in separate vendor portals.
Give stakeholders context they can review with the engineers who understand the workload.
Cloud Intelligence works with the same data model as cost exploration, trends and reporting.
Cloud Ctrl is built and hosted in Australia. Usage and billing data stays in Australian-hosted infrastructure, and a customer-controlled Azure deployment remains available for stricter requirements.
Cloud resource names and billing lines do not always explain what a service does. AI-assisted explanations help teams interpret that detail and identify questions for the people responsible.
Use those explanations as a starting point, not a substitute for workload knowledge. Review them with the relevant team before deciding what to keep, change or retire.
Cloud Intelligence helps explain cloud resources. To understand spending on AI services themselves, use AI Cost Management and its supported provider connections.

Start with the cloud resources and costs you want to understand.
Use AI-assisted explanations to interpret the resource detail.
Check the explanation and business purpose with the responsible team.
Use the shared context to inform planning or investigate further.