AI insights for Basic recommendations (Reservations)

Overview

The Reservations tab under Cost Analyzer → Optimization includes a built-in AI capability, Explain with AI, that provides a detailed breakdown of an Azure Advisor reservation recommendation — covering savings potential, implementation steps, risk assessment, and rollback guidance.

How to use

1. Navigate to Cost Analyzer ->Optimization ->Reservations->Basic recommendations.
2. Hover over a recommendation row and click the Explain with AI icon that appears.
3. The AI Insights panel opens with a full analysis of the selected recommendation.

Insight breakdown

1. Savings summary

Displays the monthly savings, annual savings, impact level, and subscription for the recommendation at a glance, along with a context note on the overall financial significance over the commitment term.

2. Recommendation summary

Explains the resource scope and what Azure Advisor is recommending, the financial case for acting, and why the recommendation should not be deferred.

3. Implementation steps

Lists the step-by-step actions needed to act on the recommendation, each with an estimated time and the tool required (Azure Portal, CLI, or PowerShell).

4. Risk & impact assessment

Covers the key risks of purchasing the reservation — Performance Risk, Availability Risk, and an Overall Safety rating — with guidance on what to monitor after the commitment is made.

5. Rollback plan

Describes how to revert the commitment if needed, including early warning signals to watch for and the expected rollback time.

6. Priority justification

Explains why the recommendation is marked at its current impact level and provides a recommended timing for when to act.

7. Similar resources to watch

Identifies other resources of the same type that may benefit from a reservation, with guidance on how to validate demand stability before committing.

Sample illustration

The GIF below highlights the insights provided for a reservation recommendation: