Configure the AI Command Center landing page and dashboards

Updated: August 11, 2026

The AI Command Center landing page and dashboards leverage the Page Editor feature. Page Editor provides access to various components, such as sections and widgets, that you can use to customize pages and the dashboards. You can add your organization's branding, and add links to internal resources and your Collibra metrics.

Sections are full width preconfigured or customizable components. These include rows for widgets, page dividers, and preconfigured sets of data. Widgets are individual blocks that can be added to a row to show data or information, such as text, images, metrics, and links.

Prerequisites

To edit the landing page:

You need a global role with the Product Rights > AI Governance global permission.
You need a global role with the Product Rights > System administration global permission.

To edit the dashboards:

You need a global role with the Product Rights > AI Governance global permission.
You need a global role with the AI Governance > Manage dashboard layout global permission.

For complete information on how to configure the landing page and dashboards, and the components that are available to you, go to the Page Editor topics.

The AI Command Center registry is not customizable.

Landing page

When you open AI Command Center, you arrive at the landing page. From the landing page, you have direct access to the AI Command Center dashboards and registry.

The following image shows the default landing page setup, in the editing state.

No.	Component	Description
	Sidebar navigation	Tabs to access the AI Command Center landing page and the registry. These tabs are not customizable.
	Hero	The Hero section is the primary call-to-action area at the top of the landing page. By default, it includes a Register AI use case button that opens the registration form for new AI Use Case assets. Important If you don't have the AI Governance > Register AI use case global permission, the registry opens instead. This button operates independently of the Register AI use case button in the registry. If, in Settings, you configured a custom workflow to replace the default behavior of the Register AI use case button in the registry, that has no effect on this button. However, you can edit the Hero widget and configure the same behavior for the button.
	Recently viewed	Allows you to quickly return to previously viewed AI assets without having to navigate via the registry.
	Useful resources	The Resources section is a structured content grid designed for portal-style navigation. It uses a modular card system where administrators can define metadata, such as icons, descriptive text, and external links, within a locked layout that maintains design consistency while offering the flexibility to scale the number of support and educational links provided.

Business dashboard

The Business dashboard provides a centralized, real-time overview of your organization's AI landscape, aggregating high-level metrics to monitor performance, risk, and governance health.

The following image shows the default dashboard setup.

Note We might periodically add new rows or widgets to your dashboard. These additions will appear at the bottom of your dashboard and will not affect your existing layout or configuration.

No.	Component	Description
	Sidebar navigation	Tabs to access the AI Command Center landing page and registry.
	Edit button	Allows administrators to configure the dashboard. For complete information, go to: Configure the landing page and Business dashboard Page Editor.
	Asset type filter	Allows you to define the scope of the data you are viewing on the dashboard. You can select one or more, between AI Agent, AI Model, and AI Use Case asset types, and the data shown in the widgets adjusts to your selection. The dashboard treats them as a single combined pool for calculating the Avg. Trust Score and Lifecycle metrics. The default state, meaning no asset types selected, is the same as selecting all three asset types. If you select AI models, both AI Model Version and AI Base Model assets are counted.
	Metric KPI widget	A configurable KPI tile. You can configure the widget to show one of the following metrics: Trust Score: The average AI Trust Score of all AI assets in your Collibra environment, with consideration of any asset type filter selections. AI agents: The total number of AI Agent assets in your environment. Total CO2 emissions: The total estimated CO2 emissions from AI asset token consumption.
	Assets by lifecycle status widget	A bar chart that shows the number of assets of a specific type, per lifecycle stage. Administrators can configure the widget for: Agents (specifically, AI Agent and AI Agent Version assets) Use cases (specifically, AI Use Case assets) Only core phase asset statuses (lifecycle stages) are considered. For information about lifecycle stages and core phase asset statuses, go to About Lifecycle management and Configure the lifecycle stages for an asset type.
	Asset Distribution widget	A donut chart that visualizes the distribution of assets by type, as a ratio of the total count.
	Assets by risk rating widget	A bar chart that shows the number of assets of a specific type, per risk rating. Risk ratings reflect the response to the "overall risk rating" question in the out-of-the-box Risks and Safeguards assessment.
	Trust Score	A heat map that correlates categories with qualitative ranges (Low, Medium, and High), to visualize asset density, per asset type, across different asset lifecycle stages. The qualitative ranges reflect the AI Trust Score settings, which can be edited to reflect what matters most to your organization.
	Risk Distribution widget	A matrix that cross-references use case risk levels with safeguard levels, to visualize the number of use cases at each risk-safeguard combination. Risk levels (High, Medium, and Low) are shown on the vertical axis, and safeguard levels (High, Medium, and Low) are shown on the horizontal axis. Risk ratings reflect the response to the "overall risk rating" question in the out-of-the-box Risks and Safeguards assessment. Safeguard levels reflect the response to the "overall effectiveness of the safeguards" question in the same assessment, mapped to the Safeguard Effectiveness attribute on the AI Use Case.

Agents dashboard

The Agents dashboard provides a fleet-wide view of operational signals for your deployed AI agents, helping you monitor quality and resource consumption across your entire agent portfolio.

The following image shows the default Agents dashboard configuration.

Note We might periodically add new rows or widgets to your dashboard. These additions will appear at the bottom of your dashboard and will not affect your existing layout or configuration.

No.	Component	Description
	Sidebar navigation	Tabs to access the AI Command Center landing page, registry, and dashboards. Under Dashboards, you can switch between the Business and Agents dashboards.
	Edit button	Allows administrators to configure the dashboard. For complete information, go to: Configure the landing page and dashboards Page Editor
	Metric KPI widgets	Three configurable KPI tiles. The default configuration shows: Total AI Agents: The total number of AI Agent assets in your Collibra environment. Avg. Trust Score: The average AI Trust Score across all AI Agent assets. Eval coverage gap: The number of AI Agent assets with no LLM judge assigned. Agents in the coverage gap are not being evaluated for quality and contribute no data to operational trust signals.
	AI monitors pass rate	The mean pass rate across all AI Monitor assets (LLM judges) in your environment, expressed as a percentage. This figure represents the average quality signal at a fleet level. Click Mean across all AI Monitors to scroll to the AI monitors table.
	AI Trust Score distribution	A heatmap in the Rollup section that shows the distribution of AI Agent assets by Trust Score tier (High, Medium, Low) and lifecycle stage. Color intensity indicates asset count density — darker cells represent more assets. Use this view to identify which lifecycle stages contain the most agents with low Trust Scores.
	Average trust score	A 30-day rolling line chart in the Rollup section showing the mean AI Trust Score over time across all AI Agent assets. Use this view to track whether overall agent quality is improving or declining.
	AI monitors	A table comparing each LLM judge's (AI Monitor's) pass rate in the current 30-day cycle against the previous cycle. The table shows: Monitor: The name of the AI Monitor (LLM judge). Click the row to open a panel listing the AI Agent Versions evaluated by that monitor, showing each version's owner, current 30-day cycle pass rate, and cycle-over-cycle change, sorted with the lowest pass rates first. Click an agent version in the panel to navigate to its asset page. Trend: A sparkline showing the pass rate trend over time. Change: The percentage point change in pass rate between the current and previous cycles. Current cycle: The pass rate for the current 30-day period. Previous cycle: The pass rate for the preceding 30-day period. Agent count: The number of AI Agent Version assets evaluated by this monitor. For information on how pass rates are calculated, go to AI monitoring for AI agents.
	Token consumption	A 30-day rolling bar chart showing daily prompt (input) and completion (output) token counts across all agents. The total token count for the period is shown above the chart. Use this view to monitor resource consumption trends and identify spikes that may indicate unexpected agent behavior.