The AI System Details Dashboard in RexCommand provides a unified interface for managing the governance activities associated with an individual AI system. It includes access to documentation, risk processes, training attestations, approvals, and more.
This page also serves as a navigation hub, linking out to detailed pages for each specific area of governance tracked in RexCommand.
Purpose
Use this dashboard to manage the end-to-end lifecycle of a registered AI system, including:
Reviewing and updating system metadata
Launching assessments and managing risks
Attaching datasets and software documentation
Tracking approval status and audit readiness
Available Actions
From this page, you can:
Edit Solution – Update system metadata including name, purpose, owner, and domain alignment
Delete Solution – Remove the AI system entry from RexCommand
Run Risk Assessment – Launch structured governance-aligned questionnaires
Create Risk – Log a specific risk associated with this system
Change Approval Status – Update the status (e.g., Draft, Under Review, Approved)
Recommended Workflow
The following steps reflect the suggested workflow. Each step corresponds to a tab on the dashboard and can be completed in this general order:
Details – Begin by entering system-level metadata including name, purpose, owner, and intended use.
Risk Assessments – Complete risk assessments aligned to frameworks such as NIST AI RMF to determine risk posture and required controls.
SBOM (Software Bill of Materials) – Document the software components, vendors, or external models used within the AI system.
TEVV (Test, Evaluation, Verification & Validation) – Upload evaluation and validation artifacts such as model testing results, architecture diagrams, or fairness assessments.
System Failure – Record system failure planning documentation, such as bypass mechanisms and fallback
Approval – Submit the system for formal review and approval. Track the approval status and approvers he procedures.
Datasets – Link datasets used by the AI system. This step may occur earlier in practice, but was positioned later in the demo sequence.
Additional Dashboard Tabs
Each section below links to a dedicated help page with more detail on how to use that part of the dashboard:
Feedback – Collect system-level input, comments, or informal review insights.
Approval – View and manage the formal approval workflow for this AI system.
Logs – Review a timestamped record of actions, updates, and changes made to this system.
Comments – Collaborate internally by leaving system-specific notes and questions.
Learn More
Click the linked section titles above to explore each governance area in more detail. These help pages provide guidance on completing each step in the system approval and oversight process.