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Frameworks for the work after policy approval.

03

Practitioner research on how AI governance requirements become runtime controls, human-review paths, decision records and evidence in regulated environments.

Elvis Tapfumanei

Written to be used.

Published research

4 practitioner research pieces available to read on the site.

Practitioner framework

Version 1.0July 2026

The AI Governance Execution Map

How approved requirements become operational controls, accountable workflows and evidence an organisation can defend.

Last factually reviewed: 2026-07-19 · Status: Current

A practitioner framework showing the execution layer between AI policy and production behaviour: eight stages from approved requirement to monitoring, with ownership, decision evidence and common execution gaps.

AI governance execution · runtime decision · operational controls · decision evidence · accountability

Regulated technology organisations

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White paper

Version 1.0June 2026

Africa's AI Governance Skip-Layer Moment

Zimbabwe as a country case for building runtime assurance before production scale

Last factually reviewed: 2026-07-19 · Status: Current

Africa's multi-regime opportunity, with Zimbabwe as the deep-dive case: turning national AI strategy into enforceable controls, audit evidence, and deployment governance across regulated sectors.

AI governance · runtime assurance · Africa · Zimbabwe · regulated sectors · audit evidence

Africa · Zimbabwe implementation case

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Illustrative scenario

Version 1.1May 2026

When Credit Decisions Become Evidence Problems

Why automated lending governance is less about the model and more about decision lineage, human review and proof.

Last factually reviewed: 2026-07-19 · Status: Illustrative scenario

An illustrative governance scenario on automated credit decisioning: how decisions are classified, reviewed, evidenced, challenged and governed in regulated lending environments.

automated lending · decision lineage · human review · regulated lending · evidence design

Regulated lending · credit decisioning

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White paper

Version 1.1April 2026

The AI Governance Execution Gap

Runtime controls for regulated African fintechs: enforcement, evidence, and audit-ready governance

Last factually reviewed: 2026-07-19 · Status: Current

AI is already inside everyday fintech work, but most organisations still treat governance as a policy issue. This white paper sets out what runtime controls, POPIA-aware enforcement, and audit-ready evidence look like for regulated South African financial services.

AI governance · fintech operations · privacy · audit-ready evidence

South African financial services AI governance

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