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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
DOJ · DOJ-0144 · record R1589

Automated Staffing Tool

Department of Justice · Department of Justice / FBOP

Overview

Development stage
DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
High-impact designation
Not high-impactSource: c) Not high-impact
Impact justification
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.
Start date
2024-10 (month precision)Source: 10/2024
Withheld from public reporting
NoSource: a) No

Mission

Topic area
Human Resources
Operational functions
No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

It will assess staffing levels within the FBOP.

Expected benefits

The expected benefit of the AI use case is to maximize cost effectiveness of staffing needs for each institution.

System outputs

Output reports provide how many positions are currently authorized within the FBOP.

Technology

AI classification
Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
System name(s)
Redacted for cybersecurity purposes.
Custom-developed code
Yes
Public source code
Not reported

Sourcing

How it was built
Purchased from vendorSource: a) Purchased from a vendor
Vendor (as reported)
Microsoft
Vendors (standardized)
Microsoft

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

Data and privacy

Involves PII
No
Privacy Impact Assessment
Not reported
Authorization to Operate
No
Demographic features
k) None of the above
Training and evaluation data
The case owner relied on DOJ AI governance practices to select and prepare data, as well as evaluate performance.
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