TREAS · 6 · record R2747

Employee Task Organization

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 helps organize work and does not produce decisions that affect rights, benefits, access to services, safety, or any other outcomes defined in the high-impact criteria.
Start date: Not reported
Withheld from public reporting: NoSource: a) No

Mission

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

Problem the AI is intended to solve

Assigning employees to tasks requires balancing multiple factors such as availability, workload, skill sets, and operational constraints. This process is often manual, time-consuming, and prone to inefficiencies, especially when coordinating across teams or during periods of high activity. The AI is intended to streamline workforce allocation by evaluating these constraints and recommending optimal task assignments, reducing administrative burden on managers.

Expected benefits

The AI improves operational efficiency by helping managers make faster, more consistent assignment decisions that align resources with priorities. This supports the agency’s mission by ensuring that work is distributed effectively, reducing bottlenecks, and enabling staff to focus on higher-value activities. Ultimately, the public benefits from more responsive and timely execution of supervisory and regulatory responsibilities.

System outputs

The AI will generate recommended task assignments for employees based on defined parameters such as availability, workload, required skills, and organizational constraints. Outputs may include suggested staffing plans, workload distribution summaries, and alerts when constraints or conflicts arise. These recommendations serve as decision-support tools for managers, who retain full authority over final assignment decisions.

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