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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
DHS · DHS-2451 · record R1955

Position Description Generation and Evaluation

Department of Homeland Security · CBP

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
Not reported
Start date
2025-05-16 (day precision)Source: 2025-05-16T00:00:00
Withheld from public reporting
Not reported

Mission

Topic area
Human Resources
Operational functions
HR and workforce Derived by keyword rules; see methodology

Problem the AI is intended to solve

Federal agencies often face challenges in creating accurate, consistent, and well-structured position descriptions (PDs) due to limited resources, the time-intensive nature of the classification process, and varying levels of expertise among HR staff and Hiring Managers. Inaccurate or poorly written PDs can lead to misclassification, legal disputes, grievances, and difficulties attracting qualified candidates, ultimately impacting workforce quality and agency performance.

Expected benefits

ClassifAI is designed to streamline and enhance the position description (PD) creation and classification process by leveraging generative AI to produce drafts of accurate, consistent, and standards-compliant PDs. By reducing administrative burdens, improving PD quality, and minimizing classification risks, ClassifAI enables agencies to optimize workforce management, attract top talent, and achieve greater operational efficiency with fewer resources.

System outputs

ClassifAI generates accurate, standards-compliant drafts of position descriptions (PDs) with tailored classification recommendations, robust and customizable language, and supporting documentation.

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
Yes
Public source code
Not reported

Sourcing

How it was built
Contract and in-houseSource: c) Developed with both contracting and in-house resources
Vendor (as reported)
Starlo and Deloitte
Vendors (standardized)
Deloitte

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
Not reported
Training and evaluation data
Publicly available position descriptions (primarily from the DoD), OPM standards and guidelines (e.g., the OPM classifier’s handbook), and CBP position descriptions.
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