Sub Can Line Finder

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

2024-10 (month precision)Source: Oct-24

Withheld from public reporting

NoSource: a) No

Mission

Topic area

Administrative Functions

Operational functions

No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

The LLM helps compile an aggregated report of costs by intaking a specific CAN, category, sub CAN line item description, and a projection cost from the user (either by a CSV or manual entry) and returning line items from the open-closed report and requisition purchase order report related to the sub CAN line item description such as supplier name, document number, document type, and total obligations for that sub CAN line item.

Expected benefits

The Sub CAN Line finder LLM helps find related obligations, line items from various reports and returns information crucial to a budget officer when creating a spend plan for their office. The LLM aids ACF Discover track various line items and pulls the information into one place: the Spend Plan module where ACF can track yearly budgets and monitor budget health.

System outputs

The LLM helps compile an aggregated report of costs by intaking a specific CAN, category, sub CAN line item description, and a projection cost from the user (either by a CSV or manual entry) and returning line items from the open-closed report and requisition purchase order report related to the sub CAN line item description such as supplier name, document number, document type, and total obligations for that sub CAN line item.

Technology

AI classification

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

System name(s)

HHS Cares

Custom-developed code

Yes

Public source code

Not reported

Sourcing

How it was built

Purchased from vendorSource: a) Purchased from a vendor

Vendor (as reported)

Palantir Technologies

Vendors (standardized)

Palantir

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

Data and privacy

Involves PII

Yes

Privacy Impact Assessment

Not reported

Authorization to Operate

Yes

Demographic features

k) None of the above

Training and evaluation data

N/A- using an integration of OpenAI as our model

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