Initial draft

Author: jonburchel

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

@@ -0,0 +1,68 @@
+---
+title: Consolidated view in the AI Foundry portal
+description: Discover how the AI Foundry consolidated view in the Azure portal simplifies AI workload management with cost, usage, and quota insights in one place.
+#customer intent: As an Azure user managing AI workloads, I want to monitor costs and resource usage in a single view so that I can optimize spending and performance.
+author: jonburchel
+ms.author: jburchel
+ms.reviewer: aashishb
+ms.date: 09/26/2025
+ms.topic: concept-article
+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.
+
+## 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.
+
+# 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.
+
+- **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.
+
+- **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.
+
+- **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.
+
+## Visual layout of the consolidated view
+
+The view's dashboard is organized into tiles, each dedicated to a specific area of visibility:
+
+- **Top row**: Alerts, active resources by cost, accumulated costs
+- **Middle row**: Model utilization over time
+- **Bottom row**: Resource breakdown by type, 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.
+
+## Related content
+
+- [Azure AI Foundry Management center](management-center.md)
+- [Azure AI Foundry status dashboard](../azure-ai-foundry-status-dashboard-documentation.md)

articles/ai-foundry/toc-files/setup-management/toc.yml

@@ -60,6 +60,8 @@ items:
     href: ../../how-to/create-azure-ai-project-template.md
 - name: Management center
   href: ../../concepts/management-center.md
+- name: Consolidated view
+  href: ../../concepts/ai-foundry-consolidated-view.md
 - name: Status dashboard
   href: ../../azure-ai-foundry-status-dashboard-documentation.md  
 - name: Connect other services