OCC Writing Style Adherence
Description
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.
Detailed example
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.
AI / analytics pattern
Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
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.
Audit / financial statement impact
This use case only checks examiner writing against style guidelines and does not produce decisions that affect rights, access to services or safety.
Controls / human review
ATO: Not reported; PIA: Not published