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Internal Audit Path
Run an internal readiness review: validate that governance work is traceable, evidence-backed, and consistent with your organization’s operating model.
Outcome
You leave this path with:
- a clear view of what is executed, fulfilled, and still in progress
- validated traceability from Requirements → Controls → Evidence
- the AI System PDF and supporting Evidence files, ready for internal sign-off, plus the audit trail behind them
Time to first value: 30–60 minutes
Prerequisites: you have the Viewer AI System role, or another role with read access to the AI System
Internal review focus
This path is for internal governance assurance and internal audit readiness. It focuses on traceability and Evidence quality, not external audit procedures.
Path at a glance
1
Confirm scope
Understand the frameworks and what the AI System is claiming
2
Review Requirements
Check readiness and how Controls map to Requirements
3
Sample Controls
Validate execution and Evidence quality
4
Export the AI System
Produce internal-ready reports and audit trail artifacts
Step 1: Confirm scope and what’s in claims
Goal: understand what governance work is in scope for this AI System.
Where in Modulos
AI System → Dashboardfor high-level status and rollupsAI System → Settings → Frameworksfor scope and versions
Do this
- Confirm which frameworks are attached to the AI System.
- Confirm the AI system description and lifecycle stage match the context you are reviewing.
You’re done when
- you can state what “in scope” means for this AI System and review cycle
Step 2: Review Requirement readiness
Goal: validate what is fulfilled and what is still open.
Where in Modulos
AI System → Requirements
Do this
- Review the Requirements marked as fulfilled and spot-check the mapped Controls.
- For Requirements not fulfilled, confirm there is a clear owner and plan.
You’re done when
- Requirement status matches what the mapped Control execution and Evidence actually support
Step 3: Sample Controls and Evidence
Goal: confirm that “executed” Controls are actually supported by Evidence.
Where in Modulos
AI System → ControlsAI System → Controls → select a controlfor the Control tab (Evidence), Report tab, and Assessment tab
Do this
- Sample across frameworks and lifecycle stages to reduce blind spots.
- For each sampled Control:
- confirm the status is correct
- review attached Evidence for relevance and sufficiency
- use saved assessments and reports to speed up review where available
You’re done when
- executed Controls are demonstrably executed and traceable to Evidence
Step 4: Export the AI System for internal sign-off
Goal: produce the reports and Evidence needed for internal sign-off and governance records.
Where in Modulos
AI System → Dashboard → Exportfor the AI System PDF, plus per-file Evidence download from sampled ControlsAI System objects → Comments and Logs
Do this
- Export the AI System PDF and download the Evidence files needed for internal review.
- Use each object's Comments and Logs to validate key decisions and status changes.
You’re done when
- you can hand off the AI System PDF and supporting Evidence files without additional context from implementers
Next handoff
Compliance Lead
Drive gaps to closure and keep Evidence ready for ongoing internal review
Monitor stage
Keep governance continuously current so audits are a state, not a scramble