TREAS · TREASURY-OFR-001 · record R2865

ChatOFR AI Chatbot

Department of the Treasury · Office of Financial Research (OFR)

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: Internal tool for OFR staff only air-gapped system with no external impact on public services or rights
Start date: 2025-01-24 (day precision)Source: 1/24/2025
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Administrative Functions
Operational functions: Chatbot or virtual assistant, Software development assistance, Search and knowledge retrieval Derived by keyword rules; see methodology

Problem the AI is intended to solve

In-house AI platform providing OFR staff with access to multiple large language models for question-answering guidance, text generation and summary, and code development assistance

Expected benefits

Improves operational efficiency by providing staff with quick access to internal guidance and draft text generation capabilities reducing time spent searching for information and creating initial document drafts

System outputs

Responses to queries using multiple LLM models provided by vendor. Includes access to specialized knowledge bases. Provides IT and Research staff with code generation, debugging, and optimization outputs. Provides user interface to create API tokens for programmatic usage.

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: Developed in-houseSource: b) Developed in-house
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: No
Privacy Impact Assessment: Not reported
Authorization to Operate: Yes
Demographic features: Not reported
Training and evaluation data: Internal OFR governance documents from SecOps PDF documentation OFR Document Library. Uses RAG on organization-specific information within OFR network.
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