AI Governance Checklist: 25-Point Implementation Guide

This comprehensive checklist will help you implement robust AI governance in your organization, covering policy creation, risk assessment, compliance, and ongoing monitoring.

Phase 1: Foundation & Policy (Points 1-8)

1. Define AI Governance Scope

• Identify all AI tools currently in use across departments
• Document shadow AI usage (unauthorized tools)
• Map AI use cases to business functions
• Establish governance boundaries (what's in/out of scope)

2. Create AI Usage Policy

• Draft acceptable use guidelines
• Define prohibited use cases
• Establish data classification rules
• Set approval workflows for new AI tools

3. Establish Governance Committee

• Appoint AI governance lead
• Form cross-functional committee (IT, Legal, Security, Business)
• Define roles and responsibilities
• Set meeting cadence and decision-making process

4. Risk Assessment Framework

• Create AI risk taxonomy
• Define risk levels (low, medium, high, critical)
• Establish risk assessment criteria
• Document risk mitigation strategies

5. Data Privacy & Security Standards

• Map data flows for AI systems
• Implement data minimization principles
• Establish encryption requirements
• Define data retention policies

6. Vendor Assessment Criteria

• Create AI vendor evaluation checklist
• Define security certification requirements
• Establish SLA expectations
• Document vendor exit strategy

7. Training & Awareness Program

• Develop AI literacy training
• Create role-specific training modules
• Establish certification requirements
• Schedule regular refresher training

8. Documentation Standards

• Create AI system inventory template
• Define documentation requirements
• Establish version control process
• Set documentation review cadence

Phase 2: Implementation & Controls (Points 9-17)

9. Access Control & Authentication

• Implement role-based access control (RBAC)
• Enable multi-factor authentication (MFA)
• Define privileged access management
• Establish access review process

10. Monitoring & Logging

• Enable comprehensive activity logging
• Set up real-time monitoring dashboards
• Define alert thresholds
• Establish log retention policies

11. Incident Response Plan

• Create AI incident classification system
• Define escalation procedures
• Establish incident response team
• Document post-incident review process

12. Compliance Mapping

• Map to relevant regulations (GDPR, CCPA, HIPAA, etc.)
• Document compliance requirements
• Establish compliance monitoring
• Schedule regular compliance audits

13. Model Governance

• Implement model versioning
• Define model approval process
• Establish performance monitoring
• Document model limitations

14. Prompt Engineering Standards

• Create prompt templates
• Define prompt security guidelines
• Establish prompt testing process
• Document prompt version control

15. Output Validation

• Implement human-in-the-loop reviews
• Define output quality standards
• Establish validation workflows
• Document validation results

16. Integration Security

• Secure API connections
• Implement rate limiting
• Define integration approval process
• Monitor integration health

17. Cost Management

• Establish budget allocation
• Implement usage tracking
• Define cost optimization strategies
• Set up cost alerts

Phase 3: Ongoing Operations (Points 18-25)

18. Regular Audits

• Schedule quarterly governance reviews
• Conduct annual comprehensive audits
• Document audit findings
• Track remediation actions

19. Policy Updates

• Monitor regulatory changes
• Review policies quarterly
• Update based on lessons learned
• Communicate policy changes

20. Performance Metrics

• Define key performance indicators (KPIs)
• Track adoption rates
• Measure risk reduction
• Monitor compliance levels

21. Stakeholder Communication

• Create governance reporting templates
• Establish reporting cadence
• Define stakeholder groups
• Schedule executive briefings

22. Continuous Improvement

• Collect user feedback
• Analyze incident trends
• Benchmark against industry standards
• Implement improvement initiatives

23. Technology Evaluation

• Monitor emerging AI technologies
• Assess new governance tools
• Pilot promising solutions
• Update technology stack

24. Culture & Change Management

• Promote responsible AI culture
• Recognize governance champions
• Address resistance to change
• Celebrate governance wins

25. Future-Proofing

• Monitor AI governance trends
• Participate in industry forums
• Update governance framework
• Plan for AI evolution

Next Steps

Now that you have this comprehensive checklist, here's how to get started:

1. Week 1-2: Complete Phase 1 items 1-4 (Foundation)
2. Week 3-4: Finish Phase 1 items 5-8 (Policy & Standards)
3. Month 2: Implement Phase 2 items 9-13 (Core Controls)
4. Month 3: Complete Phase 2 items 14-17 (Advanced Controls)
5. Ongoing: Maintain Phase 3 items 18-25 (Operations)

How Dapto Can Help

Dapto provides built-in AI governance capabilities that automate many of these checklist items:

• Centralized Control: Single platform for all AI interactions
• Automatic Logging: Every AI conversation tracked and auditable
• Policy Enforcement: Built-in guardrails and approval workflows
• Cost Tracking: Real-time usage and cost monitoring
• Compliance Reports: Pre-built compliance dashboards

Learn more about Dapto's governance features →

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