AI Governance & Compliance Framework
AI Governance / Risk / Compliance
Governance framework for responsible AI adoption, monitoring, risk management, and policy oversight.
Policy layer
Responsible AI Standard
Use-case intake
Risk tiering
Human oversight
Data handling
Controls
Approval gate
Model register
Output review
Logging
Monitoring
High risk2 use cases
Medium9 use cases
Low23 use cases
- Overview
- A framework for responsible AI adoption covering use-case intake, risk classification, monitoring, transparency and policy oversight.
- Problem
- AI tools were being adopted faster than any assessment or oversight mechanism existed to cover them.
- System architecture
- Use-case register → risk tiering → control requirements per tier → monitoring and review cadence.
- Workflow
- Request → classify → assess → conditions and controls → approve or decline → periodic review.
- Tools
- AI Governance / Risk / Compliance
- Role
- Drafted the framework structure and control set, and built the register and review workflow.
- Impact
- A single view of where AI is used, at what risk tier, and under which conditions.
- Implementation notes
- All interfaces shown are representative reconstructions using fictitious sample data. No internal names, documents or confidential metrics are published.