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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
TREAS · REQ-2025-02100 · record R2787

FORMS AI

Department of the Treasury · Bureau of the Fiscal Service (BFS)

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
The tool, once deployed, is only for productivity and does not impact any of the defined high-impact areas
Start date
2025-02-11 (day precision)Source: 2/11/2025
Withheld from public reporting
NoSource: a) No

Mission

Topic area
Information Technology
Operational functions
Document processing and extraction Derived by keyword rules; see methodology

Problem the AI is intended to solve

Data Analysis and Manipulation

Expected benefits

DDM-Debt is looking to utilize Machine Learning/GenAI solution to production in their FORMS system. The ML/GenAI solution automates the classification and routing of documents to the appropriate business units and roles.

System outputs

Convert PDFs to extract data fields that can be used to automate workflows

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
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)
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
No
Privacy Impact Assessment
Not reported
Authorization to Operate
No
Demographic features
k) None of the above
Training and evaluation data
N/A. Evaluating tools only at this stage
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