- 07 Jan 2026
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Analyzing Rightsizing Opportunities
- Updated on 07 Jan 2026
- 1 Minute to read
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Overview
The Cost Intelligence View in Cost Analyzer includes a built-in AI agent that provides intelligent, data-driven insights to optimize Azure resources for cost, performance, and efficiency. It evaluates usage, performance, configuration, and cost data to deliver actionable recommendations in a single consolidated view.
What the AI Agent Analyzes
Resource usage and performance metrics
Cost and billing data
Configuration and SKU details
Azure Advisor recommendations
Custom recommendations from our platform
Historical usage and pattern analysis
Summary Components
Usage & Performance Overview
Shows how the resource is utilized, including average and peak usage, helping identify over- or under-utilization.
Rightsizing Opportunities
Highlights potential actions such as resizing, SKU changes, or configuration adjustments based on observed usage.
Advisor & Custom Recommendations
Combines Azure Advisor insights with custom recommendations generated by our product for the specific resource.
Additional Optimization Opportunities
Includes analysis of:
SKU and configuration changes
Resource utilization
Dev/Test subscription usage patterns
Reservation opportunities
Estimated monthly cost savings
Historical and usage pattern analysis
Recommended Actions & Justification
Provides clear recommendations along with data-backed justification explaining why the action is suggested.
Cost & Performance Observations
Summarizes current vs optimized cost and expected performance impact.
Risk Assessment
Evaluates potential risks of applying the recommendation, helping users make informed decisions.
Sample Illustration
Given below is the illustration to access the AI Agent that can explore rightsizing opportunities for an Azure resource:

Note:
- This feature is currently in beta and may undergo changes as we continue to improve performance and reliability.
- Accuracy may vary. Always review and validate AI-generated outputs before using them in production environments.
- We encourage you to share feedback or report issues to help us enhance the feature before general availability.