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AI System Dashboard ​

The AI System dashboard is your operational view of governance progress. It summarizes what is complete, what is in review, and where work is blocked.

What this is ​

Use the dashboard to answer three questions quickly:

  • Are we on track to be audit-ready for this scope
  • What is blocking progress right now
  • Where is risk concentrated and how does it compare to limits

Where in Modulos ​

  • AI System → Dashboard

The Dashboard is the progress view. The registration record itself (intended purpose, EU AI Act classification, owners, state, and scopes) lives on AI System → Overview, the first item in the sidebar and the page that opens from the AI Registry; see Register an AI System.

Who can do what ​

Permissions

  • Anyone with access to an AI System can usually view its dashboard.
  • Actions surfaced from the dashboard follow normal AI System permissions. For example, exporting and changing settings require elevated AI System rights.
AI System dashboard showing scope information, progress, AI lifecycle stage, and risk signals.
The dashboard summarizes AI System progress and risk signals at a glance. UI shown in light mode.
  1. 1
    Scope context
    AI System name, owner, and scope statement anchor the dashboard.
  2. 2
    Progress rollup
    Progress is derived from underlying Requirement and Control statuses.
  3. 3
    Risk signal
    AI System risk value compares quantified exposure to the AI System risk limit.
  4. 4
    Lifecycle view
    For AI Systems, lifecycle stage segments reporting and Control coverage.

How it works ​

The dashboard is a rollup across AI System work items.

Governance progress ​

When governance is in use, the dashboard summarizes:

  • overall progress based on Control and Requirement statuses
  • what is waiting on review versus what is still being implemented
  • framework coverage and the distribution of work across frameworks

AI Assessment Progress ​

When the Control Assessment Agent is enabled for your organization, two cards at the top of the dashboard summarize its coverage:

  • AI Assessment Coverage: how many Controls have a stored assessment out of all assessable Controls (Archived and Out of scope Controls are excluded; Executed Controls count), with a percentage.
  • AI Readiness: the average readiness score across assessed Controls, or a dash until at least one assessment exists.

Only the latest assessment of each Control counts, and the footer shows when the last assessment ran. Each card links into AI System → Controls with the matching filter: Controls not yet assessed, or assessed Controls sorted lowest score first. See Control Assessment Agent.

AI lifecycle stage ​

For AI Systems, the dashboard shows the selected AI lifecycle stage. This is a lightweight way to segment work and reporting by lifecycle phase.

The organization AI System typically does not use AI lifecycle stages.

Risk signals ​

When risk quantification is in use, the dashboard surfaces:

  • top quantified risks by economic impact
  • risk status by category
  • utilization against the AI System’s risk limits

This is a decision signal. The durable audit trail lives on the underlying objects and their Comments and Logs.

How to use it ​

Important considerations ​

  • Dashboards summarize. Decisions should still be traceable through Evidence, reviews, and object logs.
  • If the dashboard looks incomplete, it may reflect missing scope, missing frameworks, or missing permissions.
  • Treat the AI lifecycle stage as a reporting aid, not as a compliance gate.
Compliance Graph

Visual map of frameworks, Requirements, and Controls

AI System Settings

Set lifecycle stage, frameworks, Sources, and access

Reviews and Statuses

How “in review” becomes auditable approvals

Portfolio Overview

How AI System risk rolls up to the organization view