RESPONSIBLE AI
AI Governance Dashboard
Framework: NIST AI RMF
Enterprise AI Governance
Governance Overview
Centralized visibility into AI systems, risk exposure, control compliance, and responsible AI governance.
AI Systems
4
Registered models
High Risk
2
Require attention
Control Compliance
92%
Across AI inventory
Open Findings
7
Active governance issues
AI Risk Distribution
Current risk profile across registered AI systems
Low Risk25%
Medium Risk25%
High Risk50%
Governance Health
92%
Compliance
Overall governance posture is healthy with several controls requiring review.
AI Model Inventory
Registered AI systems and current risk posture
| AI System | Business Unit | Use Case | Model Type | Data | Vendor | Risk | Lifecycle | Risk Score | Next Review | Review Status |
|---|---|---|---|---|---|---|---|---|---|---|
Owner: Customer Experience | Customer Operations | Customer Service Automation | Generative AI | Confidential | OpenAI | Medium | Production | 62 | 2026-10-15 | Scheduled |
Owner: Risk & Compliance | Financial Crime | Fraud Detection | Machine Learning | Restricted | Internal | High | Production | 84 | 2026-09-20 | Due Soon |
Owner: Human Resources | People & Culture | Candidate Screening | Machine Learning | Personal | Third Party | High | Review | 78 | 2026-08-30 | Due Soon |
Owner: Marketing | Marketing | Content Recommendation | Generative AI | Internal | Microsoft | Low | Production | 34 | 2027-02-01 | Scheduled |
Governance Controls
Control effectiveness and compliance monitoring
AI Risk AssessmentCompliant
Model DocumentationCompliant
Human OversightReview Required
Data Privacy ControlsCompliant
AI Incident ManagementReview Required
NIST AI RMF
AI risk management framework
ISO 42001
AI management system
EU AI Act
AI regulatory readiness