TREAS · 22 · record R2757

OCC Writing Style Adherence

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 checks examiner writing against style guidelines and does not produce decisions that affect rights, access to services or safety.
Start date: Not reported
Withheld from public reporting: NoSource: a) No

Mission

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

Problem the AI is intended to solve

Examiners must ensure that written supervisory products consistently adhere to the OCC Writing Style Manual before submitting them to their EICs for review. Manually checking documents for clarity, tone, structure, grammar, and style compliance can be time-consuming and may lead to inconsistencies across teams. The AI is intended to provide a first-pass review that identifies deviations from writing guidelines and highlights areas needing refinement, reducing the burden on staff.

Expected benefits

The AI improves the quality and consistency of written supervisory communications by helping examiners align their drafts with OCC writing standards before formal review. This supports the agency’s mission by promoting clearer, more professional, and more effective supervisory messaging. The public benefits indirectly from improved clarity and coherence in supervisory documents, which strengthen the transparency and reliability of regulatory communications.

System outputs

The AI will produce feedback on examiner-written materials, including suggested revisions for grammar, clarity, organization, conciseness, and alignment with OCC Writing Style Manual expectations. Outputs may include highlighted text, recommended rephrasing, structural guidance, and style compliance notes. These suggestions serve as decision-support tools for examiners, while all final writing decisions and supervisory judgments remain with OCC staff.

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