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Headline Issue Diary Date
Banxso Tribunal ruling clarifies who may challenge FSCA decisions 408 CompliNEWS 19 Feb 2026
Hospitality, sales pressure and compliance risk: Lessons for the FAIS environment 408 CompliNEWS 19 Feb 2026
SARS tightens the net on crypto and offshore assets from March 2026 408 CompliNEWS 19 Feb 2026
Council for Medical Schemes Levies Act: Imposition of levies on medical schemes 408 CompliNEWS 19 Feb 2026
FSCA confirms updated penalty for failure to submit statutory returns 408 CompliNEWS 19 Feb 2026
Beyond the checklist – Why conflicts of interest programmes define ethical culture 63 CompliNEWS Ethics 06 Feb 2026
Firefighters and the anatomy of ethical leadership 63 CompliNEWS Ethics 06 Feb 2026
Prudential Authority invites comment on draft standard for funding and liquidity in resolution 408 CompliNEWS 19 Feb 2026
The 63-point ethics gap: Why middle management is the real culture risk in financial services 63 CompliNEWS Ethics 06 Feb 2026
TD Bank’s $3bn AML failure – A 2026 ethics case study in culture collapse 63 CompliNEWS Ethics 06 Feb 2026
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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