TREAS · 2 · record R2744

OCC.InfoAssist

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

Find similar use cases TREAS profile

Overview

Development stage: PilotSource: b) Pilot – The use case has been deployed in a limited test or pilot capacity.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: Generic AI tool set that will serve basic needs but not specific needs to support critical agency function, however this might be foundation for other use cases.
Start date: 2024-07-01 (day precision)Source: 7/1/2024
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Information Technology
Operational functions: Chatbot or virtual assistant Derived by keyword rules; see methodology

Problem the AI is intended to solve

GenAI chatbot that generates human-like responses to user questions using OCC Comptroller handbooks and PPMs documents

Expected benefits

The AI improves operational efficiency by automating the response process, thereby reducing the manual workload on staff. It ensures that users receive consistent and accurate information quickly, which enhances user satisfaction and supports the agency’s mission of providing timely access to critical information. This leads to improved service delivery and better-informed decision-making across the agency.

System outputs

The system generates human-like responses to user questions, specifically referencing content from OCC Comptroller handbooks and PPMs documents. The outputs include detailed, contextually relevant text-based answers that help users effectively address their inquiries. Additionally, the system logs interactions for further review, facilitating continuous improvement of response accuracy and relevance.

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: k) None of the above
Training and evaluation data: No agency data is used to train the model
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