NAGF
NAGF, the Nigerian AI Governance Framework readiness model, is Gamut’s structured model for Nigerian AI governance. It uses status-labelled references to relevant policy, legislative bills and data-protection requirements so organisations operating in Nigeria can work towards readiness.
What NAGF is for
Section titled “What NAGF is for”Organisations operating in Nigeria face an evolving AI governance landscape spanning national AI policy, proposed legislation and data-protection requirements. NAGF gives them a structured readiness model so they can map their AI systems against anticipated and current obligations, distinguish enacted requirements from bill-derived ones, and build evidence of readiness ahead of and in response to regulatory change.
The seven sections
Section titled “The seven sections”NAGF organises readiness into seven sections covering roughly eighty items:
| Section | Items | What it covers |
|---|---|---|
| AI Infrastructure Readiness | 6 | Foundational compute, connectivity and platform readiness for AI. |
| AI Ecosystem and Talent | 8 | Skills, talent and ecosystem maturity for responsible AI. |
| AI Adoption and Sector Compliance | 12 | Adoption practices and compliance across sectors. |
| Responsible and Ethical AI | 16 | Fairness, transparency, accountability and ethical use. |
| AI Governance Framework | 15 | Organisational governance, policy and oversight structures. |
| NDPC Data Protection Compliance for AI | 17 | Data-protection obligations for AI under the Nigeria Data Protection regime. |
| Sector-Specific AI Obligations | 6 | Obligations particular to regulated sectors. |
The largest sections, NDPC data protection (17), responsible and ethical AI (16) and the governance framework (15), reflect where Nigerian AI governance currently concentrates: data protection, ethics and organisational accountability.
How status labelling works
Section titled “How status labelling works”Because the landscape is still developing, NAGF references carry status labels that make clear whether an obligation is current or anticipated. This keeps readiness work honest: you can act on anticipated obligations while being explicit that their legal status is not yet settled.
How you use it
Section titled “How you use it”- Register the AI systems in scope and run intake.
- Start a NAGF readiness assessment.
- Work through the seven sections, recording rationale and evidence against each item.
- Track findings and remediation as obligations firm up.
Crosswalk
Section titled “Crosswalk”Data-protection and governance evidence gathered for NAGF often supports GTSAF and the broader lifecycle. The NDPC data-protection section in particular reinforces the data governance and privacy domains of GTSAF. See Frameworks overview.
- Intake & risk tiering, capture system context.
- Reporting & exports, produce readiness outputs.