Document Review for Alignment with Executive Orders: Grant Materials

Overview

Development stage

DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.

High-impact designation

Not high-impactSource: c) Not high-impact

Impact justification

Not reported

Start date

2025-03 (month precision)Source: Mar-25

Withheld from public reporting

NoSource: a) No

Mission

Topic area

Other

Operational functions

Document processing and extraction Derived by keyword rules; see methodology

Problem the AI is intended to solve

How can ACF identify grants that may need to be reviewed for alignment with recent executive orders? ACF needed to conduct an audit across existing grants and new grant applications in accordance with HHS Secretarial Directives related to recent executive orders such as Executive Order 14151 "Ending Radical and Wasteful Government DEI Programs and Preferencing" and Executive Order 14168 "Defending Women From Gender Ideology Extremism and Restoring Biological Truth to the Federal Government".

Expected benefits

Increased efficiency of review, with reduced administrative burden on staff To increase the efficiency of the executive order alignment review, ACF is leveraging an AI-based process that reviews application submission files and generates initial flags and priorities for discussion, which are then routed to ACF Program Office staff for final review, justification, and recommendation.

System outputs

List of grants for program staff to review, with an initial assessment of compliance against executive orders and example passages from the grant materials for flagged grants. Staff are only able to view grants associated with their program office. In addition to the short summary of the results from our AI processing, staff are presented with links to associated grant files to reference while doing their review and making grant compliance assessments.

Technology

AI classification

Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).

System name(s)

ACF Upstream, ACF Credal

Custom-developed code

No

Public source code

Not reported

Sourcing

How it was built

Contract and in-houseSource: c) Developed with both contracting and in-house resources

Vendor (as reported)

Palantir, Credal

Vendors (standardized)

PalantirCredal

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII

No

Privacy Impact Assessment

www.hhs.gov ↗

Authorization to Operate

Yes

Demographic features

k) None of the above

Training and evaluation data

RAG implementation using commercially-available LLMs and user-provided grant materials

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