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AI Assurance Framework

The G3MA methodology provides a structured approach to AI governance, risk management, and continuous assurance for financial institutions.

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.

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Govern

Establish AI governance frameworks, policies, and decision-making structures for responsible AI deployment.

  • • AI Ethics & Principles
  • • Governance Structures
  • • Policy Frameworks
  • • Stakeholder Roles
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Map

Identify and document AI risks, controls, and their relationships across the organization.

  • • Risk Identification
  • • Control Mapping
  • • Relationship Analysis
  • • Impact Assessment
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Measure

Define metrics, KPIs, and monitoring systems to quantify AI performance and risk exposure.

  • • Performance Metrics
  • • Risk Indicators
  • • Monitoring Systems
  • • Threshold Setting
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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.

1

Assessment & Foundation

Evaluate current AI governance maturity, establish baseline controls, and define organizational objectives for AI assurance.

2-4 weeks Govern Focus
2

Risk & Control Mapping

Systematically identify AI risks, document existing controls, and map relationships across your AI ecosystem.

4-6 weeks Map Focus
3

Metrics & Monitoring

Implement measurement frameworks, establish KPIs, and deploy monitoring systems for continuous oversight.

3-5 weeks Measure Focus
4

Continuous Management

Establish ongoing management processes, response procedures, and regular review cycles for sustainable AI assurance.

Ongoing Manage Focus

Industry Applications

See how the G3MA framework applies across different financial services use cases and regulatory environments.

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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
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Insurance

Underwriting automation, claims processing, and actuarial modeling with risk-based governance.

Key Focus Areas:

  • • Underwriting Ethics
  • • Claims Accuracy
  • • Actuarial Model Validation
  • • Customer Privacy
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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.

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Full Playbook

Complete implementation guide

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Use Cases

Personalized AI risk scenarios