Seven-Layer Implementation Checklist

Appendix C — Seven-Layer Implementation Checklist

This checklist provides a practical tool for organizations to assess their implementation progress across the Seven-Layer RAGF Governance Architecture. Each layer is broken down into specific implementation items that can be evaluated on a simple scale.

Instructions: For each item, assess your organization’s current implementation status using the following scale:

  • ✅ Implemented — Fully implemented and operational
  • ⚠️ Partial — Partially implemented or in progress
  • ❌ Not Started — Not yet implemented or not started
  • N/A — Not applicable to your organization

Layer 1: Righteousness Foundation

Purpose: To establish the fundamental values, principles, and ethical commitments that anchor all subsequent governance activities.

Section 1.1: Core Values

#Implementation ItemImplementedPartialNot StartedN/A
1.1.1The organization has defined its commitment to the Five Pillars of AI Righteousness (Integrity, Justice, Stewardship, Wisdom, Beneficence)☐☐☐☐
1.1.2The Five Pillars have been translated into specific ethical principles relevant to the organization’s AI activities☐☐☐☐
1.1.3Executive leadership has visibly and actively committed to the righteousness governance initiative☐☐☐☐
1.1.4The righteousness vision has been communicated across the organization☐☐☐☐
1.1.5A formal Righteousness Charter or equivalent document exists☐☐☐☐

Section 1.2: Leadership Commitment

#Implementation ItemImplementedPartialNot StartedN/A
1.2.1Leadership demonstrates visible commitment to righteous AI through public statements and actions☐☐☐☐
1.2.2Leadership has allocated sufficient resources (budget, personnel, tools) for AI governance☐☐☐☐
1.2.3Leadership participates in regular AI governance reviews☐☐☐☐
1.2.4Leadership holds themselves and others accountable for AI righteousness☐☐☐☐
1.2.5Leadership models righteous behavior in AI-related decisions☐☐☐☐

Section 1.3: Organizational Awareness

#Implementation ItemImplementedPartialNot StartedN/A
1.3.1Employees can articulate the organization’s AI righteousness principles☐☐☐☐
1.3.2AI righteousness principles are included in onboarding and training☐☐☐☐
1.3.3Regular communication about AI righteousness occurs across the organization☐☐☐☐
1.3.4Employees feel empowered to raise righteousness concerns☐☐☐☐
1.3.5There is a shared understanding of righteousness across teams and departments☐☐☐☐

Layer 2: Policy and Process

Purpose: To translate foundational values into actionable policies, procedures, and governance structures.

Section 2.1: AI Governance Policies

#Implementation ItemImplementedPartialNot StartedN/A
2.1.1Written AI governance policies exist and are accessible☐☐☐☐
2.1.2Policies operationalize the Five Pillars in the context of AI development and deployment☐☐☐☐
2.1.3Data governance policies are in place☐☐☐☐
2.1.4Algorithmic fairness policies are in place☐☐☐☐
2.1.5Transparency and explainability policies are in place☐☐☐☐

Section 2.2: Governance Structures

#Implementation ItemImplementedPartialNot StartedN/A
2.2.1Clear roles and responsibilities for AI governance are defined☐☐☐☐
2.2.2A governance board or committee oversees AI governance☐☐☐☐
2.2.3An AI ethics committee provides ethical guidance☐☐☐☐
2.2.4A compliance function monitors AI governance☐☐☐☐
2.2.5A risk management function identifies and manages AI risks☐☐☐☐

Section 2.3: Procedures and Workflows

#Implementation ItemImplementedPartialNot StartedN/A
2.3.1Procedures for implementing governance policies are documented☐☐☐☐
2.3.2Workflows for AI governance activities are established☐☐☐☐
2.3.3Employees understand and follow established procedures☐☐☐☐
2.3.4Procedures are reviewed and updated regularly☐☐☐☐
2.3.5Procedures include clear escalation paths☐☐☐☐

Layer 3: Map and Analyze

Purpose: To identify, inventory, and analyze AI systems and their associated risks from a righteousness perspective.

Section 3.1: AI Inventory

#Implementation ItemImplementedPartialNot StartedN/A
3.1.1A comprehensive inventory of all AI systems exists☐☐☐☐
3.1.2The inventory is maintained and updated regularly☐☐☐☐
3.1.3AI systems are classified by risk level☐☐☐☐
3.1.4AI systems are classified by function and data sensitivity☐☐☐☐
3.1.5AI systems are classified by impact level☐☐☐☐

Section 3.2: Risk Assessment

#Implementation ItemImplementedPartialNot StartedN/A
3.2.1Data flows are mapped and understood☐☐☐☐
3.2.2Stakeholders are identified and engaged☐☐☐☐
3.2.3Risk assessments are conducted for high-impact AI systems☐☐☐☐
3.2.4Risks are assessed against the Five Pillars☐☐☐☐
3.2.5Risk assessments are documented and reviewed☐☐☐☐

Section 3.3: Context Analysis

#Implementation ItemImplementedPartialNot StartedN/A
3.3.1The operational context of each AI system is understood☐☐☐☐
3.3.2The regulatory context of each AI system is understood☐☐☐☐
3.3.3The social context of each AI system is understood☐☐☐☐
3.3.4The ethical context of each AI system is understood☐☐☐☐
3.3.5Contextual factors are documented and reviewed☐☐☐☐

Layer 4: Measure and Monitor

Purpose: To establish quantitative and qualitative measures of AI righteousness and to monitor performance over time.

Section 4.1: Metrics Definition

#Implementation ItemImplementedPartialNot StartedN/A
4.1.1Metrics are established for Integrity☐☐☐☐
4.1.2Metrics are established for Justice☐☐☐☐
4.1.3Metrics are established for Stewardship☐☐☐☐
4.1.4Metrics are established for Wisdom☐☐☐☐
4.1.5Metrics are established for Beneficence☐☐☐☐

Section 4.2: RI Assessment

#Implementation ItemImplementedPartialNot StartedN/A
4.2.1RI-D assessments are conducted for developers☐☐☐☐
4.2.2RI-P assessments are conducted for providers☐☐☐☐
4.2.3RI-O assessments are conducted for the organization☐☐☐☐
4.2.4RI-A assessments are conducted for AI agents☐☐☐☐
4.2.5RI-R assessments are conducted for robots☐☐☐☐

Section 4.3: Continuous Monitoring

#Implementation ItemImplementedPartialNot StartedN/A
4.3.1Continuous monitoring systems are in place☐☐☐☐
4.3.2Monitoring data is collected and analyzed☐☐☐☐
4.3.3Baselines are established for measurement☐☐☐☐
4.3.4Regular reports are produced and reviewed☐☐☐☐
4.3.5Monitoring results are communicated to stakeholders☐☐☐☐

Layer 5: Manage and Control

Purpose: To implement controls, safeguards, and interventions that ensure AI systems operate within righteous boundaries.

Section 5.1: Technical Controls

#Implementation ItemImplementedPartialNot StartedN/A
5.1.1Bias detection tools are deployed☐☐☐☐
5.1.2Transparency mechanisms are deployed☐☐☐☐
5.1.3Action boundaries are enforced☐☐☐☐
5.1.4Security safeguards are in place☐☐☐☐
5.1.5Technical controls are tested and updated☐☐☐☐

Section 5.2: Human Oversight

#Implementation ItemImplementedPartialNot StartedN/A
5.2.1Meaningful human review exists for critical AI decisions☐☐☐☐
5.2.2Human oversight roles are defined and staffed☐☐☐☐
5.2.3Human overseers are adequately trained☐☐☐☐
5.2.4Human-in-the-loop controls are maintained☐☐☐☐
5.2.5Oversight activities are documented☐☐☐☐

Section 5.3: Incident Response

#Implementation ItemImplementedPartialNot StartedN/A
5.3.1Incident response procedures are in place☐☐☐☐
5.3.2Incident response teams are identified and trained☐☐☐☐
5.3.3Incident response procedures are tested regularly☐☐☐☐
5.3.4Incidents are documented and reviewed☐☐☐☐
5.3.5Lessons learned from incidents are incorporated☐☐☐☐

Layer 6: Assess Impact

Purpose: To evaluate the broader impacts of AI systems on individuals, communities, and society, and to assess the effectiveness of governance activities.

Section 6.1: Impact Assessment

#Implementation ItemImplementedPartialNot StartedN/A
6.1.1Social impact assessments are conducted☐☐☐☐
6.1.2Ethical impact assessments are conducted☐☐☐☐
6.1.3Environmental impact assessments are conducted☐☐☐☐
6.1.4Human rights impact assessments are conducted☐☐☐☐
6.1.5Impact assessments are documented and reviewed☐☐☐☐

Section 6.2: Stakeholder Engagement

#Implementation ItemImplementedPartialNot StartedN/A
6.2.1Stakeholders are identified for each AI system☐☐☐☐
6.2.2Affected communities are engaged☐☐☐☐
6.2.3Stakeholder feedback is collected and incorporated☐☐☐☐
6.2.4Stakeholder concerns are addressed☐☐☐☐
6.2.5Stakeholder engagement is documented☐☐☐☐

Section 6.3: Governance Effectiveness

#Implementation ItemImplementedPartialNot StartedN/A
6.3.1Governance activities are evaluated for effectiveness☐☐☐☐
6.3.2Unintended consequences are identified and documented☐☐☐☐
6.3.3Alignment with the Five Pillars is reviewed☐☐☐☐
6.3.4Lessons learned are documented☐☐☐☐
6.3.5Lessons learned are applied to improve governance☐☐☐☐

Layer 7: Sustain and Improve

Purpose: To ensure that righteousness governance is not a one-time effort but a continuous, evolving practice.

Section 7.1: Review and Update

#Implementation ItemImplementedPartialNot StartedN/A
7.1.1Governance policies are reviewed regularly☐☐☐☐
7.1.2Governance procedures are reviewed regularly☐☐☐☐
7.1.3Governance controls are reviewed regularly☐☐☐☐
7.1.4Updates are made based on review findings☐☐☐☐
7.1.5Reviews are documented☐☐☐☐

Section 7.2: Feedback and Improvement

#Implementation ItemImplementedPartialNot StartedN/A
7.2.1Feedback from measurement is incorporated☐☐☐☐
7.2.2Feedback from assessments is incorporated☐☐☐☐
7.2.3Feedback from stakeholders is incorporated☐☐☐☐
7.2.4Continuous improvement processes are in place☐☐☐☐
7.2.5Improvement is tracked and measured☐☐☐☐

Section 7.3: Capability Development

#Implementation ItemImplementedPartialNot StartedN/A
7.3.1Training is provided to build governance capabilities☐☐☐☐
7.3.2Best practices are shared across the organization☐☐☐☐
7.3.3External best practices are monitored and adopted☐☐☐☐
7.3.4RGS is tracked to ensure continuous improvement☐☐☐☐
7.3.5Governance capabilities are evaluated and developed☐☐☐☐

Summary Scorecard

Layer Implementation Score

LayerTotal ItemsImplementedPartialNot StartedScore (%)Status
Layer 1: Foundation15____________%___
Layer 2: Policy and Process15____________%___
Layer 3: Map and Analyze15____________%___
Layer 4: Measure and Monitor15____________%___
Layer 5: Manage and Control15____________%___
Layer 6: Assess Impact15____________%___
Layer 7: Sustain and Improve15____________%___
Total105____________%___

Score Calculation

Each Layer Score (%) = (Implemented Count ÷ Total Items) × 100
Overall Score (%) = (Sum of 7 Layer Scores) ÷ 7

Status Interpretation

Score RangeStatusDescription
80–100%Fully ImplementedThe layer is fully implemented and operating effectively
60–79%ProficientThe layer is largely implemented with room for improvement
40–59%DevelopingThe layer is partially implemented and needs further development
20–39%EmergingThe layer is at an early stage and needs significant improvement
0–19%Not StartedThe layer has not yet been implemented

Implementation Priority Matrix

LayerScore (%)PriorityRecommended ActionsOwnerTimeline
Layer 1: Foundation___%High/Medium/Low_________
Layer 2: Policy and Process___%High/Medium/Low_________
Layer 3: Map and Analyze___%High/Medium/Low_________
Layer 4: Measure and Monitor___%High/Medium/Low_________
Layer 5: Manage and Control___%High/Medium/Low_________
Layer 6: Assess Impact___%High/Medium/Low_________
Layer 7: Sustain and Improve___%High/Medium/Low_________

Implementation Roadmap

PhaseLayersFocusTimeline
Phase 1: FoundationLayer 1, Layer 2Establish values, policies, and governance structures3-6 months
Phase 2: AssessmentLayer 3, Layer 4Map AI systems, assess risks, and establish measurement6-12 months
Phase 3: ControlLayer 5Implement controls and safeguards6-12 months
Phase 4: EvaluationLayer 6Assess impact and stakeholder engagement9-18 months
Phase 5: MaturityLayer 7Continuous improvement and capability developmentOngoing

Next Steps

StepActionOwnerTimeline
1Complete the assessment for all seven layers
2Identify priority gaps (lowest scores, highest risk)
3Develop action plans for priority gaps
4Implement corrective actions
5Re-assess periodically (recommended: annually)