Learning objectives
“As a compliance professional, I want to map regulatory requirements, configure dashboards, and generate audit evidence using ValidMind.”
This fourth module is part of a four-part series:
AI Governance
Module 4 — Contents
Regulatory mapping
Understanding requirements
Key governance regulations include:
Mapping to ValidMind
Each regulation maps to platform capabilities:
- Inventory — Registration and classification requirements
- Documentation — Technical documentation articles
- Workflows — Approval and oversight processes
- Monitoring — Continuous compliance requirements
Implementation guides
Put Governance into Practice
Use our implementation guides for:
What these guides cover
- Inventory setup, custom fields, risk classification
- Document templates aligned to frameworks
- Automated testing for data quality and accuracy
- Independent validation, effective challenge, remediation
- Ongoing monitoring and drift detection
- Governance roles and approval workflows
- Audit trails for compliance evidence
Dashboards and reporting
Governance dashboards
Dashboards provide visibility into:
- AI system portfolio overview
- Risk distribution across tiers
- Workflow status and bottlenecks
- Compliance metrics
Configuring dashboards
The Analytics section provides:
Pre-built dashboards for governance oversight
Customizable widgets for key metrics
Filters by risk tier, status, and ownership
Export options for board reporting
Reporting
Generate reports for:
Executive oversight
Regulatory submissions
Internal & external audits
Compliance monitoring
Audit evidence
Types of audit evidence
ValidMind automatically captures:
| Evidence type | Description |
|---|---|
| Registration records | AI system registration and updates |
| Approval history | Who approved what, when |
| Documentation | Technical and governance documentation |
| Change history | All modifications with timestamps |
Generating evidence
To prepare for audits:
- Export documents and reports
- Generate activity logs
- Produce compliance summaries
- Package evidence for auditors
Maintaining audit readiness
Best practices:
Keep documentation current
Complete workflows promptly
Document decisions and rationale
Perform periodic self-assessments
Continuous compliance
Ongoing monitoring
Continuous compliance requires:
- Regular review of AI systems
- Performance monitoring
- Change tracking
- Issue management
Periodic reviews
Configure periodic reviews:
- Set review frequencies by risk tier
- Assign reviewers
- Track completion
- Document review outcomes
Staying current
AI regulations evolve. Stay current by:
Monitoring regulatory updates
Updating classification criteria
Revising document templates
Training staff on changes
Course completion
Congratulations on completing AI Governance! You have learned:
AI governance concepts and terminology
How to manage AI use cases
Workflow configuration for governance
Compliance and oversight practices