SCIENTIA ET LEX
Essential AI Governance Policies Framework
Systematic written policy framework for AI governance compliance. Comprehensive documentation standards, regulatory alignment methodology, and implementation procedures for EU AI Act requirements.
12
Core policies
85+
Policy elements
4-6
Weeks development
€35M
Penalty avoidance
Systematic AI Governance Policy Framework
Essential written policies for comprehensive AI governance and regulatory compliance
1
Foundational Governance Policies
AI Acceptable Use Policy
- • Permitted and prohibited AI applications
- • Employee responsibilities and boundaries
- • Third-party AI service usage guidelines
- • Violation reporting procedures
AI Development Standards
- • Development methodology requirements
- • Testing and validation standards
- • Documentation requirements
- • Quality assurance procedures
2
Risk Management & Compliance Policies
AI Risk Management Policy
- • Risk identification and assessment procedures
- • Risk classification methodology
- • Mitigation strategy development
- • Risk monitoring and review processes
AI Compliance Policy
- • EU AI Act compliance requirements
- • Regulatory monitoring procedures
- • Compliance assessment validation
- • Non-compliance reporting protocols
3
Data Governance & Privacy Policies
Data Governance for AI Policy
- • Training data collection and validation
- • Data quality assessment requirements
- • Bias detection and mitigation procedures
- • Data lineage and provenance tracking
AI Privacy Protection Policy
- • Privacy-by-design implementation
- • Personal data minimisation
- • Consent management procedures
- • Data subject rights implementation
4
Operational & Oversight Policies
Human Oversight Policy
- • Human oversight design requirements
- • Roles and responsibilities definition
- • Intervention procedures and protocols
- • Performance monitoring validation
AI Incident Response Policy
- • Incident identification and classification
- • Response team roles and procedures
- • Investigation and analysis protocols
- • Regulatory reporting requirements
Policy Implementation & Professional Templates
Foundation Package
5 Policies
Essential framework
- • AI Acceptable Use Policy
- • AI Risk Management Policy
- • Data Governance for AI Policy
- • Human Oversight Policy
- • AI Incident Response Policy
Professional Package
12 Policies
Complete framework
- • All Foundation Package policies
- • AI Development Standards
- • AI Compliance Policy
- • AI Privacy Protection Policy
- • AI Ethics Policy
- • AI Vendor Management Policy
- • Quality Management Policy
Enterprise Package
20+ Policies
Enterprise framework
- • All Professional Package policies
- • Industry-specific addendums
- • Multi-jurisdictional compliance
- • Advanced monitoring frameworks
- • Executive dashboard templates
- • Implementation project plans
Systematic Implementation Framework
Development (Weeks 1-2)
- • Stakeholder engagement
- • Regulatory alignment
- • Template customisation
- • Legal review validation
Implementation (Weeks 3-4)
- • Communication and training
- • Process integration
- • System configuration
- • Monitoring setup
Maintenance (Ongoing)
- • Annual policy reviews
- • Regulatory monitoring
- • Compliance assessment
- • Continuous improvement
Professional Policy Framework Development
Systematic AI governance policy development necessitates regulatory expertise combined with organisational understanding to ensure comprehensive compliance documentation and implementation effectiveness.
Policy Templates
Professional frameworks
Implementation Support
4-6 weeks development
Ongoing Maintenance
Annual review cycles
Professional policy development • EU AI Act compliance • Implementation support