JPMorgan Automates Trade Surveillance With Agentic AI
A compliance pilot has agents reviewing flagged trades, gathering context across systems and drafting surveillance narratives for human reviewers.
Analysis
Agents pull from order-management, communications and reference-data systems, then apply regulatory rule logic to produce an evidence-backed recommendation. Humans remain the final approver.
Why it matters
Surveillance is a control function where auditability is non-negotiable. Agentic workflows that produce a full rationale are well suited to it.
Source: FinWire
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