🛡️ Govern
AI Governance — Safe. Compliant. Trustworthy.
AI systems without governance are risks waiting to happen. We design, implement, audit, and certify AI management systems that protect your organisation, your customers, and your reputation.
Our Governance Services
Regulatory Compliance Implementation
- Bank of Ghana CISD 2026 Annex E — full implementation for financial institutions
- Ghana Data Protection Act 2012 (Act 843) — compliance for AI systems, DPIAs, data subject rights mechanisms
- EU AI Act — compliance for organisations exporting to or operating within the EU
- Sector-specific regulation — healthcare, education, public sector, employment
ISO 42001 Certification Support
- Full end-to-end support for ISO 42001:2023 certification — the global standard for AI Management Systems. From scoping to certification audit.
AI Risk Management
- AI risk assessments (NIST AI RMF aligned)
- AI risk register design and implementation
- Third-party AI vendor risk management
- AI-specific incident response planning
Fairness, Ethics & Redress
- Fairness impact assessments across African demographic groups
- Bias testing and mitigation strategy
- Customer redress and appeal mechanism design
- AI policy development
AI Audit & Assurance
- Pre-certification readiness reviews
- Independent AI system assessments
- Governance effectiveness audits
- Board and regulator reporting frameworks
Governance Training & Capacity Building
- AI Governance Committee training
- Board-level AI risk awareness
- Act 843 for AI systems
- ISO 42001 Lead Implementer (GAIICC accredited)
Why TAG Governance?
Regulator-Ready
Our frameworks are designed to pass inspection by the Bank of Ghana, Data Protection Commission, and other regulators.
African Context
Fairness assessments calibrated for African demographics, not imported Western datasets.
Certification Partner
GAIICC accredited training and certification pathways.
Research-Backed
Our methods are grounded in PhD-level research on African AI governance.
The Governance Framework
The TAG 3-Layer Model
| Layer | Instrument | Role |
|---|---|---|
| Regulation | National / sectoral laws and directives | What must be done |
| Standard | ISO 42001:2023 AI Management System | How to do it systematically |
| Framework | NIST AI RMF (Govern → Map → Measure → Manage) | How well it is being done |
Is your AI governed?
Contact us for a free initial governance health check.