Does AI replace compliance analysts in transaction monitoring?

Detailed Explanation

No. A model produces a score; a compliance decision requires judgement, context, and someone accountable for it. Three things have to survive automation. Explainability — an analyst and, later, an examiner must be able to say why a case was escalated or closed. Bias testing — a model trained on historic alerts inherits whatever skew those alerts carried. And escalation protocols — a defined path from alert to review to filing, with the same documentation standard a manual process would produce. Treat the model as a prioritisation layer that changes which cases a human sees first, not as a system that decides on its own.