Edits

Author: jonburchel

articles/ai-foundry/concepts/ai-foundry-consolidated-view.md

@@ -12,57 +12,57 @@ ms.service: azure-ai-foundry
 
 # Consolidated view in the Azure AI Foundry portal
 
-The **AI Foundry consolidate view** brings the most important insights about your AI workloads directly into the Azure Portal. Instead of jumping between multiple tools, you now have a single place to see how your AI resources are performing, what they’re costing, and whether you’re approaching your usage limits.
+The **AI Foundry consolidated view** shows key insights about your AI workloads in the Azure portal. Instead of switching between tools, you see in one place how your AI resources perform, what they cost, and whether you’re nearing usage limits.
 
 ## Why use the consolidated view?
 
 - **Faster visibility**: Check cost, quota, and resource usage at a glance.
 - **Built-in governance**: Spot early warning signs like quota thresholds and cost spikes before they become blockers.
-- **Seamless integration**: Deep-link into familiar Azure blades like **Cost management** and **Quota management** without losing context.
-- **Lightweight experience**: No new resource types or complex setup required. Everything is surfaced from what you already use.
+- **Seamless integration**: Deep link into familiar Azure blades like **Cost management** and **Quota management** without losing context.
+- **Lightweight experience**: No new resource types or complex setup required. It surfaces what you already use.
 
-# Key Features
+## Key features
 
 - **Accumulated costs**
 
-   Visualize spend over time, broken down by subscription or resource type. Identify trends, track experiments, and drill down into **Cost management** for detailed analysis.
+   View spend over time by subscription or resource type. Identify trends, track experiments, and drill into **Cost management** for deeper analysis.
 
 - **Active resources by cost**
 
   See which active resources are driving the most spend. This helps you optimize usage and clean up idle resources quickly.
 
 - **Model utilization**
 
-  Track how your AI models are being used over time. Spot peaks, dips, and usage patterns across your projects to make better scaling decisions.
+  Track AI model usage over time. Spot peaks, dips, and usage patterns across your projects to make better scaling decisions.
 
 - **Resource breakdown by type**
 
-  Understand which AI services you’re consuming most (for example, Azure OpenAI, Speech, Language). This helps with cost allocation and planning for future workloads.
+  Understand which AI services you use most (for example, Azure OpenAI, Speech, Language). This helps with cost allocation and planning for future workloads.
 
 - **Quota utilization**
 
   Monitor quota usage by model and region. Stay ahead of capacity issues with quick links to **Quota management** for requesting increases.
 
 - **Alerts and service health**
 
-  Surface key alerts tied to your AI resources, so you can investigate and resolve issues without leaving the dashboard.
+  View key alerts for your AI resources so you can investigate and fix issues without leaving the dashboard.
 
 ## Visual layout of the consolidated view
 
-The view's dashboard is organized into tiles, each dedicated to a specific area of visibility:
+The dashboard shows tiles for each visibility area:
 
-- **Top row**: Alerts, active resources by cost, accumulated costs
+- **Top row**: Alerts, active resources by cost, and accumulated costs
 - **Middle row**: Model utilization over time
-- **Bottom row**: Resource breakdown by type, quota utilization
+- **Bottom row**: Resource breakdown by type and quota utilization
 
 ## What you can do next
 
-- Open **Cost analysis** directly from the dashboard to drill deeper into spend.
-- Request quota increases via **Quota management** when you hit thresholds.
-- Use utilization insights to guide where to scale, pause, or reallocate resources.
-- Keep AI projects running smoothly by acting on surfaced alerts.
+- Open **Cost analysis** from the dashboard to analyze costs.
+- Request quota increases in **Quota management** when you reach limits.
+- Use utilization insights to decide where to scale, pause, or reallocate resources.
+- Keep AI projects running smoothly by acting on alerts.
 
 ## Related content
 
-- [Azure AI Foundry Management center](management-center.md)
+- [Azure AI Foundry management center](management-center.md)
 - [Azure AI Foundry status dashboard](../azure-ai-foundry-status-dashboard-documentation.md)