South African Revenue Service (SARS)
AI and machine-learning risk screening of tax refunds
SARS said its risk management work, which uses AI and machine learning, prevented R101 billion in impermissible refunds in 2023/24
Problem
Refund fraud and abuse is a large leak in South Africa's tax system. The commissioner said in April 2024 that he remained concerned about it.
Approach
SARS's compliance programme uses data, AI and machine-learning algorithms to counter criminality and wilful non-compliance. It says the systems are meant to stop impermissible and fraudulent refunds without denying legitimate ones. The agency has been rebuilding its capability, including data science, since 2020.
Results
Takeaway
SARS used AI within a wider risk management programme to screen refunds. Its preliminary year-end total did not separate the contribution of AI models.
Categories
- Size
- Large enterprise
- Industry
- Public sector
- Business function
- Finance, risk and legal
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Built in-house
- Goal
- Quality and risk
- Evidence
- Company's own claim
Sources
Source summaries
SARS's year-end revenue release says its compliance programme uses data, AI and machine-learning algorithms against criminality and wilful non-compliance. It says SARS prevented the outflow of R101 billion of impermissible refunds and completed 1.8 million risk-management cases. The commissioner says he remains concerned about refund fraud and abuse.
Full details are in the original sources.