OMB Individually Reported

Analyze Financial Reports to Identify Linkages Across Investigations

Medium riskExact public inventory row

Description

Comprehensive analytical review of reports related to money laundering, specifically identifying commonalities across multiple investigations.

Detailed example

Quantitative data reports and analyses to inform agents and intel analysts.

AI / analytics pattern

Natural Language Processing: AI that processes, interprets, and shares information in human language.

Automation level / stage

a) Pre-deployment – The use case is in a development or acquisition status.

Expected benefit

Analysts no longer have to spend time manually collecting data from reports and importing it into PowerBI dashboards as a first step in linking investigations and showing a larger picture of criminal networks.

Audit / financial statement impact

Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.

Controls / human review

ATO: Not reported; PIA: Not published