Illustrative scenario

Expand Trade Surveillance Coverage Without Expanding Your Surveillance Budget

For the Head of Market Surveillance at a broker-dealer or FCM, the compliance math is brutal: more asset classes, more regulatory requirements under MAR and Dodd-Frank, and a surveillance stack that generates more alerts than the team can investigate. Reducing vendor costs while actually improving detection coverage sounds like a contradiction — until you automate the investigative workflow.

Up and running in ~10 wkFor: Head of Market Surveillance, broker-dealer or FCM
Estimate your payback
~4 mo
Payback period
$9M
Est. savings / year
+$6M
Year-1 net

Rough estimate — change the numbers to match your business. We scope the real figures with you on a call.

The Investigation Bottleneck in Modern Surveillance

Surveillance platforms like NICE Surveil-X and Bloomberg SSEOMS are good at generating alerts. The bottleneck is what happens next: correlating order and execution events with communication records, determining whether a pattern constitutes spoofing, layering, or a wash trade, drafting a preliminary investigation memo, and logging the result into the FINRA or NFA case management system. That workflow is performed by analysts for every material alert. As asset-class coverage expands and alert volumes grow, the team either falls behind or the surveillance vendor charges more for additional coverage.

How an AI Agent Works the Investigation Queue

An AI Labor Company agent integrates with your NICE Surveil-X alert workflows and Bloomberg SSEOMS audit trails to handle the correlative analysis that currently consumes analyst hours. It auto-correlates order and execution event sequences against electronic communication records, applying pattern logic for spoofing, layering, and wash-trade indicators. For each flagged pattern, the agent drafts a preliminary investigation memo and logs the structured result in the FINRA/NFA Surveillance Case Management system. All escalations to regulators are reviewed and approved by the CCO before filing — the agent prepares the analysis, the CCO owns the decision.

The Business Case: More Coverage, Lower Vendor Cost

This case has two distinct value drivers. First, direct cost reduction: by automating the investigation workflow, firms can reduce surveillance vendor engagement costs by approximately 30% while actually expanding the asset classes under active surveillance coverage. Second, risk containment: faster pattern detection and consistent documentation discipline reduce the exposure window on potential regulatory violations. Workflow efficiency gains on the specific investigation tasks are illustratively in the 50–70% range. Teams are typically live and running automated investigation queues within about 10 weeks.

Questions

Does the agent make escalation decisions to regulators on its own?

No. The agent drafts preliminary investigation memos and logs structured findings in the case management system. All escalations to FINRA, the NFA, or other regulators are reviewed and approved by the CCO before any filing.

Which surveillance platforms does the agent integrate with?

The agent is built to work with NICE Surveil-X and Bloomberg SSEOMS audit trails, and logs results to FINRA/NFA Surveillance Case Management. Integration scope is finalized during the implementation phase.

Can the agent cover asset classes that our current vendor doesn't surveil?

Expanding asset-class coverage is one of the primary use cases. The agent's pattern correlation logic can be configured for additional asset classes as part of the implementation scoping conversation.

Related use cases

Illustrative scenario for financial services, banking & insurance. Figures are example ranges, not guarantees — we scope real numbers with you on a call.

Want this running in your business?

We'll scope an agent for this on a free 15-minute call.

Book a free call