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Headline Issue Diary Date
White labelling versus name changes: CMS draws a hard regulatory line 403 CompliNEWS 17 Jan 2026
Global crypto enforcement update: AML remains the pressure point 21 CryptoCompliNEWS 17 Jan 2026
Using data protection law to claim reputational harm: Courts draw firmer lines 21 CryptoCompliNEWS 17 Jan 2026
Crypto exits surge in 2025, setting the stage for an even bigger 2026 21 CryptoCompliNEWS 17 Jan 2026
Three stress tests now define winners in AI, crypto and tech 21 CryptoCompliNEWS 17 Jan 2026
Draft regulatory framework issued for alternative remittance providers 403 CompliNEWS 17 Jan 2026
Former school principal’s son accused in R19m investment fraud case 403 CompliNEWS 17 Jan 2026
Deadline for comment on discussion paper extended 403 CompliNEWS 17 Jan 2026
SA prepares for next FATF evaluation 403 CompliNEWS 17 Jan 2026
Advice firms face daily cyberattacks as data risks escalate 403 CompliNEWS 17 Jan 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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