Catalogue: AI in the Public Sector clear
1 practice not yet assessed for evidence strength.
Most practices in: South Africa (10)
South Africa's SARS uses ML models across 1.2 billion annual records to select audits and detect refund fraud. In FY2024/25 AI-driven compliance …
A WhatsApp-based platform connecting up to 13 million South Africans to grants, COVID-19 testing and municipal services became a landmark antitrust case …
South Africa's Home Affairs upgraded its facial-recognition ID verification system used by SASSA, Treasury and banks, cutting failure rates from up to …
SARB researchers rigorously tested machine-learning models (LASSO, XGBoost, neural networks) against the bank's own published inflation forecasts: ML modestly beat SARB's forecast …
eThekwini Municipality uses a satellite machine-learning system to flag suspected drinking-water leaks across Durban's network, tracking over 1,000 leaks. Despite the tool, …
Facing what officials call an AI-disinformation risk before South Africa's 4 November 2026 local elections, the IEC launched Vota, a multichannel AI …
Stellenbosch University's Policy Innovation Lab built a WhatsApp chatbot using ChatGPT so citizens can report service failures like broken water pipes, mapping …
South Africa's DPSA launched a Meta Llama-powered chatbot in August 2026 giving public servants instant, multilingual access to policy circulars — built …
Cape Town ran a ShotSpotter/SoundThinking gunshot-detection network from 2016 in poor, apartheid-era neighbourhoods, citing thousands of alerts and dozens of arrests — …
South Africa published its draft National AI Policy for public comment on 10 April 2026, then withdrew it 16 days later after …
Open full copilot Grounded in cited practices — always check the sources.
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