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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
DHS · DHS-2583 · record R1851

Draft Report Generation and Formatting for Investigations

Department of Homeland Security · ICE

Overview

Development stage
In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.
High-impact designation
Not high-impactSource: c) Not high-impact
Impact justification
Not reported
Start date
Not reported
Withheld from public reporting
Not reported

Mission

Topic area
Law Enforcement
Operational functions
Procurement and acquisition Derived by keyword rules; see methodology

Problem the AI is intended to solve

The AI is intended to solve the problem of contract managers having to manually review large numbers of contract records to spot possible duplicates, which makes it easy to miss overlapping agreements and contributes to redundant spending.

Expected benefits

The use of AI in contract management is expected to reduce the time required for manual contract review and improve the ability to identify duplicative contracts. This implementation supports efforts to reduce contract costs and aligns with federal procurement consolidation and cost-efficiency initiatives.

System outputs

The solution’s AI outputs are alerts and reports. When the AI detects a potential duplicate contract, it generates an alert for the user. The system can also produce detailed reports that highlight identified duplicates and provide relevant contract details. These outputs are intended to support contract managers and other personnel in reviewing and resolving potential duplicate contracts. Users may access detailed reports to understand the nature of the duplicates and take appropriate actions, such as consolidating contracts, renegotiating terms, or canceling redundant agreements. The resolution workflow guides users through the process of addressing duplicate contract alerts. The AI component will not itself modify, consolidate, or cancel contracts; all actions are taken by personnel following existing approval and procurement processes.

Technology

AI classification
Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
System name(s)
Not reported
Custom-developed code
Not reported
Public source code
Not reported

Sourcing

How it was built
Not reported
Vendor (as reported)
Not reported
Vendors (standardized)
None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII
Not reported
Privacy Impact Assessment
Not reported
Authorization to Operate
Not reported
Demographic features
Not reported
Training and evaluation data
Not reported
Federal Data Catalog
Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingNo answer reported
AI impact assessmentNo answer reported
Independent reviewNo answer reported
Ongoing monitoringNo answer reported
Operator trainingNo answer reported
Fail-safeNo answer reported
Appeal processNo answer reported
User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported