TREAS · 13 · record R2753

Handbook Highlights

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 only provides reference or clarification support and does not produce decisions that affect rights, access to services, safety.
Start date: Not reported
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Information Technology
Operational functions: Summarization Derived by keyword rules; see methodology

Problem the AI is intended to solve

The Comptroller’s Handbook contains extensive, detailed guidance that examiners must review and interpret to support supervisory activities. Manually navigating and summarizing this material is time-consuming and can delay exam preparation or issue analysis. The AI is intended to streamline this process by quickly summarizing relevant sections of the handbook, enabling staff to more efficiently access key concepts, expectations, and procedural guidance.

Expected benefits

The AI improves examiner efficiency by reducing time spent reading and synthesizing lengthy handbook materials, allowing staff to focus on deeper analysis and supervisory judgment. This supports the agency’s mission by promoting more consistent application of asset quality standards and strengthening the timeliness and effectiveness of examinations. The public benefits indirectly through stronger, more consistent oversight of asset quality risks and improved safety and soundness of financial institutions.

System outputs

The AI will generate concise summaries of selected Handbook sections, highlighting major concepts, supervisory expectations, risk factors, and procedural steps. Outputs may include narrative summaries, bullet points, or structured outlines designed to support examiner orientation and prep work. These summaries act as decision-support materials, while final interpretations and supervisory decisions remain with agency personnel.

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