Navigating the dashboard
Understand the main dashboard and how to find what you need.
Dashboard overview
The dashboard is what you see after logging in. It gives you a snapshot of your entire AI governance program: how many models you're tracking, which risks need attention, where your compliance stands and what tasks are overdue.
You can get back here from anywhere by clicking "Dashboard" in the sidebar or the VerifyWise logo at the top.
Two views: operations and executive
There's a toggle in the top-right corner that switches between two layouts. Your choice is saved to your browser, so it persists between sessions.
Operations view
Leads with task radar, incident status and evidence coverage. Designed for people doing the day-to-day governance work.
Executive view
Leads with organizational framework progress and governance score. Designed for leadership reviewing posture at a glance.
Summary cards
The row of cards at the top shows counts across your key registries. Each card is clickable and takes you to the full page for that area.
Models
Total AI models in your inventory.
Vendors
Third-party vendors you manage.
Policies
Policies across all statuses.
Trainings
Training sessions assigned to staff.
Incidents
AI-related incidents on record.
Organizational framework cards
If you've enabled organizational frameworks (ISO 42001, ISO 27001 or NIST AI RMF), each one gets its own card showing implementation progress.
- ISO 42001 and ISO 27001: Arrow buttons in the card header toggle between clauses and annexes progress.
- NIST AI RMF: Shows control implementation status broken down by function (Govern, Map, Measure, Manage).
Clicking any framework card takes you to the framework management page where you can work on individual controls.
Risk overview
Risk cards display donut charts showing how your risks distribute across severity levels (critical, high, medium, low). There are 3 separate cards:
Use case and framework risks
Risks attached to your AI use cases and their compliance assessments.
Vendor risks
Risks associated with third-party vendors.
Model risks
Risks tied to specific AI models in your inventory.
Task radar
The task radar groups your open tasks by urgency:
- Overdue: Past due date. These need immediate attention.
- Due soon: Due within the next 7 days.
- Upcoming: More than 7 days away.
Click the card to open the full tasks page with filtering and assignment options.
Metrics cards
The remaining cards cover specific governance areas:
Training completion
Planned, in-progress and completed training sessions.
Policy status
Policies grouped by status: draft, under review, approved, published, archived.
Incident status
Incidents grouped by status: open, investigating, mitigated, closed.
Evidence coverage
Percentage of models with uploaded evidence and total evidence count.
Model lifecycle
Models grouped by approval status: approved, pending, restricted, blocked.
Recent use cases table
At the bottom of the dashboard, a table lists your most recently updated AI use cases with these columns:
- Use case name: The name you gave the use case when creating it.
- Framework: Which compliance framework(s) are attached.
- Progress: Percentage of sub-controls completed.
- Status: Current use case status.
- Updated: Last modification timestamp.
Sidebar navigation
The sidebar on the left is your main navigation. It's divided into a top section and 3 labeled groups:
Top items
Start here, Dashboard, Tasks (with open count badge), and Frameworks.
Inventory
Use cases, Model inventory, Datasets, and Agent discovery.
Assurance
Risk management, Training registry, Evidence, Reporting, and AI trust center.
Governance
Vendors, Policy manager, and Incident management.
At the bottom of the sidebar you'll find Event tracker (audit log), Settings, and your user profile with logout.
Add new (quick actions)
The "Add new" dropdown in the dashboard header lets you create records without navigating away:
- Use case: Register a new AI use case.
- Vendor: Add a third-party vendor.
- Model: Add a model to your inventory.
- Risk: Log a new use-case-level risk.
- Policy: Create a governance policy.
- Vendor risk: Log a risk tied to a specific vendor.
- Model risk: Log a risk tied to a specific model.
- Training: Create a training session.
- Incident: Report an AI-related incident.