TREAS · TREASURY-OCIO-001 · record R2863

GenAI Productivity Tool

Department of the Treasury · Technology Common Services Center (TCSC)

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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: The AI system's outcome does not affect civil rights, safety, or access to critical services, therefore, it doesn't meet the criteria for a high-impact AI use case. This system is provided to bureaus and offices across treasury that may chose to implement high impact use capabilities, however, as the system provider we are unable to indicate this classification.
Start date: 2025-05-07 (day precision)Source: 5/7/2025
Withheld from public reporting: NoSource: a) No

Mission

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

Problem the AI is intended to solve

General research and smart assistant functions

Expected benefits

Improves organizational efficiency by automating communication, documentation and research tasks.

System outputs

Generates contextually relevant, coherent and human-like text responses that address user quires, generate content and support decision making across a wide range of business and operational needs. It provides responses to general research questions; provides cites and sources; drafts and reviews text.

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: No
Public source code: Not reported

Sourcing

How it was built: Purchased from vendorSource: a) Purchased from a vendor
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: Yes
Privacy Impact Assessment: Not reported
Authorization to Operate: No
Demographic features: k) None of the above
Training and evaluation data: The model was trained and evaluated on a mixture of licensed data, data created by human trainers, and publicly available data. For Treasury enterprise use, no agency-specific or Treasury data was used to train, fine-tune, or evaluate the model unless such data was explicitly provided and securely isolated within that enterprise environment.
Federal Data Catalog: Not reported

Governance

8 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingReported in placeSource: a) Yes

AI impact assessmentReported in placeSource: a) Yes

Independent reviewReported in progressSource: d) In-progress

Ongoing monitoringReported in progressSource: b) Development of monitoring protocols is in-progress

Operator trainingReported in placeSource: a) Yes, sufficient and periodic training has been established

Fail-safeReported in placeSource: a) Yes

Appeal processReported in progressSource: c) Establishment of an appropriate appeal process is in-progress

User and public consultationReported in placeSource: a) Direct usability testing

Potential impacts and how they were identified

Foreseeable impacts include privacy risks such as potential data exposure or misuse, civil rights concerns stemming from algorithmic bias or unequal access, and civil liberties implications related to automated decision-making or service disruption. These risks were identified through internal AI risk reviews, compliance assessments against NIST and OMB guidance, and controlled scenario-based simulations conducted during pilot testing.