The RexCommand Dashboard provides a centralized view of your organization’s AI Governance program at a glance. It aggregates key metrics, progress indicators, risk insights, and recent activities so you can quickly understand where your program stands and what needs attention.
This guide explains how to navigate and use the Dashboard, and how it fits into the broader RexCommand experience.
Purpose of the Dashboard
The Dashboard serves as your landing page in RexCommand and is designed to help you:
Monitor progress on your AI governance journey.
Identify areas of strength and those needing improvement.
Quickly access detailed sections of the platform for deeper insights.
Stay informed on recent activities, such as new system registrations, policy updates, and incident reports.
It pulls data from across RexCommand’s modules—AI Maturity, AI Inventory, Risk Management, Policies, and Training—and displays it in an actionable summary.
Key Sections of the Dashboard
1. AI Maturity Assessment
At the top of the Dashboard, you’ll find an overview of your AI Governance maturity progress:
Displays your overall progress as a percentage and shows how many of the defined maturity milestones have been completed.
Highlights your current stage (e.g., Stage 2: Reactive / Foundational) so you know where you are on the maturity path.
Shows progress trends (e.g., “Making progress”) to indicate improvement.
You can click View Full Assessment to dive into detailed maturity criteria and guidance.
How it fits in:
This section reflects the long-term evolution of your AI governance practices and benchmarks you against best practices.
2. Policy Acknowledgements
This area shows progress on policy acknowledgements:
Tracks how many users have acknowledged each published policy.
Helps ensure organizational alignment and compliance with AI-related policies.
How it fits in:
Supports the Policies module by making sure staff understand and commit to governance guidelines.
3. AI Inventory
Provides a summary of your registered AI systems and datasets:
Counts of total AI systems, those pending approval, and those flagged as high-risk.
Counts of datasets, including sensitive datasets and those pending review.
How it fits in:
Acts as a snapshot of the AI Inventory module, helping you oversee the landscape of your AI assets and their associated data.
4. AI Risk Management
Shows the current state of vulnerabilities and residual risks:
Vulnerabilities by Risk Rating: a bar chart categorizing risks as High, Medium, or Low.
Residual Risk Distribution: a pie chart showing the proportion of risks by severity (e.g., Low: 62%, High: 15%, Critical: 23%).
How it fits in:
Connects with the Risk Management module, allowing you to proactively address vulnerabilities and reduce exposure.
5. Recent Activity
Lists the latest significant events across your organization:
New AI system registrations.
Completed risk assessments.
Published policies.
Reported incidents.
Each activity is timestamped and color-coded for easy scanning.
How it fits in:
Keeps you informed of what’s happening in real-time, helping you track progress and respond to developments promptly.
Tips for Using the Dashboard Effectively
Review the Dashboard regularly to stay aligned with your organization’s goals.
Use the summary metrics to identify areas needing attention and navigate to the relevant modules.
Share insights from the Dashboard during governance meetings to facilitate data-driven discussions.
Act promptly on any high or critical risks flagged under AI Risk Management.
Next Steps
From the Dashboard, you can click through to any detailed module:
AI Maturity: Learn about next-stage improvements.
AI Inventory: Register or review AI systems and datasets.
Risk Management: Address vulnerabilities and conduct assessments.
Policies & Training: Monitor acknowledgements and assign training.