Policy Development Editorial Assistant

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 is used for drafting policies and procedures manuals (PPMs) and spotting inconsistencies, without producing 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

Maintaining and updating the Policies and Procedures Manual (PPM) and Office- or Management-Level Policies and Procedures (OMPPs) requires staff to manually identify where changes are needed, ensure alignment across documents, and verify that no conflicts or duplications exist. This process is time-consuming and prone to oversight, leading to inconsistent guidance or outdated content. The AI is intended to streamline this workflow by detecting conflicting or duplicative information, identifying documents impacted by policy changes, and generating draft PPMs or updates to reduce manual errors and accelerate the policy development cycle.

Expected benefits

The AI improves policy accuracy, consistency, and timeliness by helping staff quickly identify needed updates and eliminating conflicting or duplicative language across PPMs and OMPPs. This strengthens the agency’s mission by enhancing internal governance, ensuring clearer policy guidance, and reducing administrative burden on staff. The public benefits indirectly from more reliable internal policy frameworks that support efficient and effective regulatory and supervisory operations.

System outputs

The AI will generate draft revisions to Policies and Procedures Manuals (PPMs) and Office- or Management-Level Policies and Procedures (OMPPs), produce newly drafted PPM sections based on provided specifications, and create reports highlighting conflicting, duplicative, or outdated policy elements. Outputs may include recommended edits, highlighted alignment issues, and structured draft policies. These serve as decision-support tools for policy teams, who maintain full responsibility for validating and approving all final documents.

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.

Potential impacts and how they were identified

Not reported