White papers and case studies on the gap between AI policy and operational control: decision lineage, evidence trails, runtime governance, and regulated-market execution.
3 practitioner research pieces available to read on the site.
White paper
Version 1.0June 2026
Why Zimbabwe can build runtime assurance before production scale
A practitioner framework for turning Zimbabwe's National AI Strategy into enforceable controls, audit evidence, and deployment governance across regulated sectors.
AI governance · runtime assurance · Zimbabwe · regulated sectors · audit evidence
Zimbabwe’s AI governance implementation context
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Case study
Version 1.0May 2026
Why automated lending governance is less about the model and more about decision lineage, human review and proof.
This piece demonstrates my approach to AI governance: not as policy writing, but as operational control design. It focuses on how automated decisions are classified, reviewed, evidenced, challenged and governed inside regulated fintech environments.
automated lending · decision lineage · human review · regulated fintech · evidence design
Regulated fintech credit decisioning
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White paper
Version 1.0April 2026
Runtime controls for regulated African fintechs: enforcement, evidence, and audit-ready governance
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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