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Headline Issue Diary Date
Kuwait and Papua New Guinea added to FATF grey list: What it means for AML and compliance teams 407 CompliNEWS 13 Feb 2026
Deals in the age of AI: The governance reality behind the hype 407 CompliNEWS 13 Feb 2026
Dawn raids, price fixing and the compliance illusion 407 CompliNEWS 13 Feb 2026
IMF report: South Africa holds the line, but reform must deliver 407 CompliNEWS 13 Feb 2026
Ethics is tested most when power is unequal 63 CompliNEWS Ethics 06 Feb 2026
AI, algorithms and legal recognition – Why crypto firms should watch UK patent developments 23 CryptoCompliNEWS 06 Feb 2026
Book review 406 CompliNEWS 06 Feb 2026
FSCA warns of regulator impersonation scam 406 CompliNEWS 06 Feb 2026
Compliance fatigue: When regulation starts undermining the advice profession 406 CompliNEWS 06 Feb 2026
From MiCA to FATF: Global regulatory divergence is now the norm 406 CompliNEWS 06 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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