TREAS · 37 · record R2768

Resource Assignment Optimization

Department of the Treasury · Office of the Comptroller of the Currency (OCC)

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: This use case matches open resources with available job opportunities and does not make hiring or employment decisions that could impact rights or access to opportunities.
Start date: Not reported
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Service Delivery
Operational functions: No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

The AI is intended to reduce the manual effort involved in reviewing open positions and identifying available staff who may be a good fit. Currently, analysts and managers must sort through resource lists, skill profiles, and job requirements individually. The AI helps automate this matching process by applying predefined rules and logic, making it easier to identify potential matches quickly and consistently.

Expected benefits

The AI improves workforce efficiency by helping the agency deploy staff more quickly and effectively, which supports timely supervision activities and strengthens overall operational readiness. By reducing administrative workload, analysts and managers can spend more time on mission-critical responsibilities. Ultimately, better resource alignment contributes to more effective oversight of the banking system, which benefits the public through a stable and well-regulated financial environment.

System outputs

The AI outputs a set of recommended matches between available staff and open job roles, highlighting how well each resource aligns with the job requirements based on skills, experience, and other predefined criteria. These outputs serve as suggestions to support decision-making and help managers quickly identify candidates who may be suitable for specific assignments.

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