TransUnion TLOxp Online Investigative Services
Description
The purpose of the AI use case in TransUnion TLOxp Online Investigative Services is to gather and analyze diverse personal, financial, and asset-related data more effectively. By implementing AI for entity resolution, risk scoring, and pattern detection, it replaces manual data handling with automated insights. This accelerates the discovery of meaningful leads, reduces errors, and ensures attention is concentrated on cases truly warranting further review, improving both accuracy and resource allocation.
Detailed example
The AI features highlight key personal details, indicate anomalies, and present data in a structured format for deeper inquiry.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
The expected benefit is better time/effort use, focusing on subjects/data points that seem more meaningful.
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: No; PIA: Not published
Data needed
The case owner relied on DOJ AI governance practices to select and prepare data, as well as evaluate performance.