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.
Potential impacts and how they were identified
Not reported