AI Assurance Framework
The G3MA Methodology
G3MA stands for Govern, Map, Measure, Manage - a comprehensive four-pillar approach to AI assurance that ensures responsible AI deployment and ongoing risk management.
Govern
Establish AI governance frameworks, policies, and decision-making structures for responsible AI deployment.
- • AI Ethics & Principles
- • Governance Structures
- • Policy Frameworks
- • Stakeholder Roles
Map
Identify and document AI risks, controls, and their relationships across the organization.
- • Risk Identification
- • Control Mapping
- • Relationship Analysis
- • Impact Assessment
Measure
Define metrics, KPIs, and monitoring systems to quantify AI performance and risk exposure.
- • Performance Metrics
- • Risk Indicators
- • Monitoring Systems
- • Threshold Setting
Manage
Implement ongoing management processes for continuous improvement and risk mitigation.
- • Continuous Monitoring
- • Response Procedures
- • Remediation Plans
- • Regular Reviews
Implementation Journey
A structured approach to implementing the G3MA framework across your organization's AI initiatives.
Assessment & Foundation
Evaluate current AI governance maturity, establish baseline controls, and define organizational objectives for AI assurance.
Risk & Control Mapping
Systematically identify AI risks, document existing controls, and map relationships across your AI ecosystem.
Metrics & Monitoring
Implement measurement frameworks, establish KPIs, and deploy monitoring systems for continuous oversight.
Continuous Management
Establish ongoing management processes, response procedures, and regular review cycles for sustainable AI assurance.
Industry Applications
See how the G3MA framework applies across different financial services use cases and regulatory environments.
Commercial Banking
Credit risk assessment, fraud detection, and customer service automation with regulatory compliance.
Key Focus Areas:
- • Model Performance Monitoring
- • Fairness & Bias Detection
- • Data Quality Assurance
- • Explainability Requirements
Insurance
Underwriting automation, claims processing, and actuarial modeling with risk-based governance.
Key Focus Areas:
- • Underwriting Ethics
- • Claims Accuracy
- • Actuarial Model Validation
- • Customer Privacy
Capital Markets
Algorithmic trading, portfolio optimization, and risk management with market surveillance.
Key Focus Areas:
- • Trading Algorithm Ethics
- • Market Impact Assessment
- • Operational Resilience
- • Regulatory Reporting
Ready to Implement G3MA?
Start your AI assurance journey with our comprehensive guidance and practical tools designed for financial institutions.
Full Playbook
Complete implementation guide
Use Cases
Personalized AI risk scenarios