Most organizations scaling AI face the same problem: AI systems are spreading across teams, business units, and lifecycle stages, but there’s no single place to see what’s actually happening. Are governance controls being followed? Which models are high-risk? How many use cases are in production right now?
Deeploy’s new AI Governance Dashboard solves this by giving every stakeholder a real-time, organization-wide snapshot of their entire AI portfolio and governance progress.
What is an AI Governance dashboard?
An AI governance dashboard is a centralized interface that displays the current state of AI systems across an organization, including risk classifications, lifecycle stages, active deployments, and compliance progress. Rather than piecing together reports from different teams or tools, governance and compliance leaders can see the full picture in one place.
In Deeploy, the Organization Dashboard pulls all data directly from your AI Registry. This means the more complete your Registry, the more accurate and actionable your governance overview becomes.
What the Deeploy AI Governance dashboard includes
The dashboard provides a set of real-time charts, each designed to answer a specific governance question at the organizational level.
- Use Cases & Deployments - A live count of all AI use cases and active deployments registered in your organization's Registry, giving you an immediate sense of the scope and scale of AI activity across the business.
- Controls Progress - An overview of governance control completion across all registered use cases in all Workspaces. At a glance, you can see how many controls are completed, in progress, or not yet started, making it easy to identify where governance gaps exist before they become compliance risks.
- Use Cases by Risk Classification - A breakdown of your registered AI systems by risk level. This is particularly relevant for organizations managing obligations under the EU AI Act, where different risk tiers carry different governance requirements.
- Use Cases by Lifecycle Stage - Shows how your registered AI systems are distributed across Exploration, Development, Validation, and Production stages.
- Use Cases by Applied Framework - Displays which governance frameworks are applied across your use cases, whether that's your own company policy, the EU AI Act, NIST AI RMF, or others, along with control completion progress per framework.
- Use Cases Added (Last 30 days) - A timeline showing the pace of new AI use case registrations, helping governance teams track how quickly the AI portfolio is growing.
From fragmented oversight to organizational control
The Governance Dashboard doesn’t just surface information, it connects governance to operations. Because all data is drawn from the AI Registry, every chart reflects real activity: actual deployments, real control completion, live risk classifications updated as models move through their lifecycle.
For compliance leaders preparing for certification audits or regulatory reviews, the Dashboard also provides a starting point for evidence collection, a structured, up-to-date record of how governance frameworks are being applied across the organization.
Get full visibility across your AI portfolio
Frequently Asked Questions
What is an AI governance dashboard?
An AI governance dashboard is a centralized interface that gives organizations real-time visibility into their AI portfolio, including active deployments, risk classifications, lifecycle stages, and the progress of governance controls across applied frameworks. It turns AI governance from a periodic reporting exercise into continuous, operational oversight.
How is an AI governance dashboard different from an AI registry?
An AI registry is where you register and document your AI systems (models, use cases, metadata, and compliance information). An AI governance dashboard sits on top of the registry and visualizes that data, giving you an aggregated, organization-wide view of governance progress. In Deeploy, the two work together: the Registry is the foundation, and the Dashboard makes the data actionable.
What data does Deeploy's AI Governance Dashboard use?
All data in Deeploy’s Organization Dashboard is pulled directly from your AI Registry. This includes registered use cases, active deployments, risk classifications, lifecycle stages, and control completion status. The accuracy of the Dashboard improves as your Registry becomes more complete.
Who uses an AI governance dashboard?
AI governance dashboards are used by compliance officers, risk managers, AI governance leads, and executives responsible for AI oversight. In Deeploy, the Dashboard is designed to serve both technical and non-technical stakeholders, data teams can see deployment and lifecycle data, while governance teams track control completion and framework progress.
