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Headline Issue Diary Date
Judge stays NHI challenges 408 CompliNEWS 19 Feb 2026
FAIS Ombud reinforces duty of care in ‘unsuitable’ annuity advice ruling 408 CompliNEWS 19 Feb 2026
How Latvia turned AML crisis into global benchmark 408 CompliNEWS 19 Feb 2026
ESG and governance watch 408 CompliNEWS 19 Feb 2026
Influencers fined for promoting unauthorised forex scheme 408 CompliNEWS 19 Feb 2026
Financial crime focus: SARS tightens lifestyle audit net 408 CompliNEWS 19 Feb 2026
UN warns of escalating cyber fraud compounds and cross-border crime risks 408 CompliNEWS 19 Feb 2026
Satib Insurance (Pty) Ltd and Another v Cillie and Others (final interdict granted over employee and client solicitation) 408 CompliNEWS 19 Feb 2026
Australia: ASIC signals tougher action after $1bn super fund collapse 408 CompliNEWS 19 Feb 2026
CityWire podcast: FSCA warns pension fund trustees as supervision tightens 408 CompliNEWS 19 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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