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Headline Issue Diary Date
SARS tightens focus on high-wealth individuals 405 CompliNEWS 01 Feb 2026
Administrator ordered to repay benefit after failing to trace former member 405 CompliNEWS 01 Feb 2026
Consumer vulnerability: From TCF principle to supervisory test 405 CompliNEWS 01 Feb 2026
FSCA requests information on frameworks for vulnerable consumers 405 CompliNEWS 01 Feb 2026
Privacy shifts from compliance burden to strategic risk issue in South Africa 405 CompliNEWS 01 Feb 2026
AI governance failures emerge as a new professional liability risk 405 CompliNEWS 01 Feb 2026
Importance of Certificates of Compliance under the Employment Equity Act 405 CompliNEWS 01 Feb 2026
Coal decline exposes municipal transition risk in Mpumalanga 405 CompliNEWS 01 Feb 2026
Regulatory radar: Enforcement leadership changes sharpen compliance risk 405 CompliNEWS 01 Feb 2026
SARB eases exchange control rules for certain offshore transfers 405 CompliNEWS 01 Feb 2026
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Working Smart

By Lee Rossini

Although still in its infancy, the term agentic AI is being heard more frequently. It refers to AI that can act autonomously to achieve goals, make decisions, and adapt to changing environments with minimal human intervention. Unlike traditional AI models that respond only to direct prompts, agentic AI systems are designed with a sense of 'agency': they can plan, execute multi-step tasks, interact with other systems, and learn from outcomes. These systems often combine reasoning, memory, and tool usage, enabling them to operate more like digital collaborators than passive tools.

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