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Headline Issue Diary Date
Lifestyle audits gain traction as AML and source-of-wealth scrutiny intensifies 413 CompliNEWS 27 Mar 2026
Sekunjalo ruling exposes governance failures and quantum risks in complex funding structures 413 CompliNEWS 27 Mar 2026
Synthetic content, deepfakes and misinformation 64 CompliNEWS Ethics 22 Mar 2026
Adding value in financial services 412 CompliNEWS 20 Mar 2026
Pressure points for umbrella funds regarding two-pot system 412 CompliNEWS 20 Mar 2026
NAMFISA updates signal stronger coordination and pension clarity 412 CompliNEWS 20 Mar 2026
UK's FCA proposes flexible review model for ongoing advice 412 CompliNEWS 20 Mar 2026
Safire Insurance Company Limited v The Prudential Authority (Tribunal clarifies key person approval and outsourcing compliance) 412 CompliNEWS 20 Mar 2026
Laiqah Dinie v Old Mutual Superfund Provident Fund, the Pension Funds Adjudicator and Chantal Pitcher (section 37C death benefits) 412 CompliNEWS 20 Mar 2026
Regulating rand stablecoins in South Africa and the case for a new framework 412 CompliNEWS 20 Mar 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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