Executive briefings, market intelligence, and strategic perspectives for directors and executives navigating South Africa's AI governance transition.
These briefings are designed to be placed directly in front of a board. Provide your business email to receive them in your inbox.
A definitive briefing on the mandatory AI disclosure requirements for South African directors. Covers the King V Disclosure Framework, board fiduciary duties, accountability structures, and the legal consequences of non-compliance for JSE-listed entities.
South Africa's most operationally impactful AI-specific legal provision — and how most compliance programmes have failed to implement it. A blueprint for boards governing automated credit, insurance, employment, and AML decisions.
Directors have a fiduciary duty to maintain governance-level competence on AI. This diagnostic provides a structured self-assessment tool for boards to identify their governance gaps before King V auditors or regulators do.
AI models used in credit, AML, pricing, and investment decisions are subject to model risk management requirements from the Prudential Authority and FSCA. A plain-language primer for boards who must govern what they cannot yet fully understand.
The most significant AI governance failures of the next three years will not come from internally built systems — they will come from AI capabilities embedded in third-party software that were never evaluated, never disclosed, and never governed.
An analysis of the scale and POPIA exposure created by unsanctioned AI tool adoption across South Africa's major financial institutions. 55% of employees are using AI tools not sanctioned by their employer — in financial services, the fiduciary implications are acute.
An analysis of the R30M+ budgets currently being allocated to AI within South African financial institutions — and where they are failing due to a lack of governance readiness. Only 23% of SA executives report adequate AI governance frameworks.
Navigating the safety, governance, and regulatory challenges of Level-4 autonomous environments in South African mining. The fiduciary exposure created by autonomous operational technology is categorically different from enterprise AI.
On the geopolitical dimensions of AI governance: why African institutions must develop the capability to evaluate, interrogate, and if necessary reject the AI models built elsewhere — and what architectural sovereignty means in practice.
Insights from the G20 Working Group sessions on cognitive task substitution and labour stability. The ILO estimates 26% of African jobs are technically automatable — the question is not whether to transition, but how to do it without destroying labour stability.
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