Financial crime analytics is highly exposed because it is a data-intensive, pattern-recognition domain. AI excels at transaction monitoring, anomaly detection, network analysis, and predictive modelling. Human consultants are still necessary for regulatory interpretation, investigative follow-up, and ensuring AI models are explainable and compliant.
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Financial Crime Analytics scores 70, a high disruption risk. AI already dominates monitoring and detection, leaving consultants mainly defensible in regulatory validation and investigative follow-up. Significant opportunities remain to leverage AI for innovation and differentiation within this category.
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