TREAS · 24 · record R2759

Regulatory Rule Analysis

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 focuses on summarizing or interpreting regulatory material.
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

Comment letters on major rulemakings can be lengthy and numerous, making it difficult for staff to quickly understand the range of viewpoints and the main arguments presented. The AI helps by reviewing these submissions and distilling them into clear summaries, saving time and reducing the burden of manually going through each document.

Expected benefits

By providing a faster way to understand feedback on the proposed rule, the AI supports more informed internal discussions and policy analysis. This helps ensure the agency remains aligned with evolving regulatory perspectives, ultimately contributing to stronger and more effective supervision practices that benefit the public and the financial system.

System outputs

The system delivers concise summaries of comment letters, capturing key themes, concerns, recommendations, and areas of consensus or disagreement. These outputs give staff a clearer picture of the issues raised without needing to read each letter in full.

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