Revolutionize cloud cost management with AI: discover the new Microsoft Cost Management co-pilot!

In the digital age, cloud computing has become an essential component for many companies, offering flexibility, scalability and agility. However, with the ever more widespread adoption of the cloud, the management of associated costs has become an increasingly complex challenge and companies are looking for innovative solutions to optimize their expenses in the cloud. In this context, Microsoft introduced “Copilot” in Cost Management, a new feature based on artificial intelligence, designed to help businesses navigate this complex landscape. This article shows the main features of this integration, that promises to revolutionize the way businesses manage and optimize their spending on cloud resources.

A clear view of costs with Microsoft Cost Management

Microsoft Cost Management, available directly from the Azure portal, offers a detailed view of operating costs, allowing businesses to better understand how their funds are being spent. This tool provides detailed information about your expenses, highlighting any anomalies and spending patterns. Furthermore, allows you to set budgets, share costs among different teams and identify opportunities for optimization.

AI at the service of cost management

With the introduction of AI in Microsoft Cost Management, users can now ask questions in natural language to quickly get the information they need. For example,, to understand a recent invoice, it is possible to request a detailed breakdown of expenses. The AI ​​will provide an overview of the different spending categories and their impact on the total.

As well as providing an overview of costs, the AI ​​offers suggestions on how to analyze expenses further. Users can compare monthly bills, examine specific expenses or investigate any anomalies. The AI ​​also provides detailed information on any changes in costs and suggests corrective actions.

The AI ​​integrated into Microsoft Cost Management interprets user intentions and retrieves the necessary data from various sources. This information is then presented to an advanced language model which generates a response. It is important to note that the retrieved data is not used to train the model, but only to provide the context needed to generate a relevant response.

Future perspectives

The capabilities of AI in Microsoft Cost Management are constantly evolving. In the future, users will be able to take advantage of simulations and modeling “what-if” to make informed decisions. For example,, will be able to explore how storage costs will vary as the business grows or evaluate the impact of moving resources from one region to another.

Figure 1 – Example of simulation and modeling “what-if”


The introduction of AI in Microsoft Cost Management allows to obtain the following benefits:

  • Greater visibility and cost control: with greater visibility and understanding of cloud resource costs, organizations can make more informed decisions and better manage their budgets.
  • Operational efficiency: using AI to analyze and interpret data reduces the time and effort needed to gain valuable insights. Furthermore, users can ask specific questions in natural language and receive detailed answers, customized to their needs.

Figure 2 – Examples of questions

  • Optimization: with AI-driven tips and recommendations, organizations can identify and implement optimization opportunities to further reduce costs.


The integration of Copilot into Microsoft Cost Management represents a significant step forward in cloud cost management. With the help of artificial intelligence, businesses now have a powerful tool to optimize their spending and ensure they operate at peak efficiency. With the constant evolution of artificial intelligence, further and interesting innovations are expected in the field of cloud cost management and beyond.

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