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Headline Issue Diary Date
Ethics in financial services: From compliance obligation to performance driver 64 CompliNEWS Ethics 22 Mar 2026
When value disappears, retaining the benefit is the new focus 64 CompliNEWS Ethics 22 Mar 2026
Culture as strategy and control: Why ethics and integrity drive performance and reduce risk 64 CompliNEWS Ethics 22 Mar 2026
Whistleblowing and recognition: Reinforcing an ethical culture 64 CompliNEWS Ethics 22 Mar 2026
Integrity in the age of AI: Just because it can be done, doesn’t mean it should be 64 CompliNEWS Ethics 22 Mar 2026
Ethics without consequences is not ethics 64 CompliNEWS Ethics 22 Mar 2026
Auditor dispute highlights rising regulatory pressure on audit processes 412 CompliNEWS 20 Mar 2026
VAT fraud crackdown reinforces tax crime as a core AML risk 412 CompliNEWS 20 Mar 2026
R32m forfeiture order signals shift to proceeds-based enforcement 412 CompliNEWS 20 Mar 2026
PCC 5E in practice: What FSPs are getting wrong (and how to fix it) 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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