Analyse

Make cloud resources easier to understand.

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.

Networked globe visualising connected cloud intelligence

Understand what is in use

Explore explanations of cloud resources alongside their costs, rather than starting in separate vendor portals.

Support informed decisions

Give stakeholders context they can review with the engineers who understand the workload.

Shared data, useful context

Cloud Intelligence works with the same data model as cost exploration, trends and reporting.

Australian data residency

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.

Understand

A starting point for shared understanding

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.

Cloud Intelligence explaining cloud resources
How it works

From data to decision in four steps

  1. 01

    Explore

    Start with the cloud resources and costs you want to understand.

  2. 02

    Understand

    Use AI-assisted explanations to interpret the resource detail.

  3. 03

    Review

    Check the explanation and business purpose with the responsible team.

  4. 04

    Decide

    Use the shared context to inform planning or investigate further.

Get started

Find out what your data can tell you.