HHS · no agency ID · record R0597

Discover Financial Business Intelligence System (FBIS) Report Analysis (Sub-CAN Line Items)

Department of Health and Human Services · HHS/ACF

Overview

Development stage: PilotSource: b) Pilot – The use case has been deployed in a limited test or pilot capacity.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: Not reported
Start date: 2025-04 (month precision)Source: Apr-25
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Procurement and Financial Management
Operational functions: No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

How can spend plans be more real-time and less manual to create and keep up to date? The data used to create and monitor spend plans are spread across multiple out-of-the-box reports available in FBIS. Combing through them is time-intensive, making it more difficult to keep spend plans up to date in real-time. This task is especially challenging due to the unstandardized nature of sub-CAN (Congressional Appropriation Number) line item descriptions.

Expected benefits

More efficient spend plan creation and monitoring. This AI-enabled tool provides a resource for ACF budget managers to identify related line items across disparate reports in FBIS.

System outputs

Suggested budget line items related to a user-provided description. AI is used to both search for relevant data (CANs, categories, and sub-CAN line item descriptions) and aggregate information (e.g. supplier name, document number, total obligations, and user-provided projected costs) to create an up-to-date, real-time spend plan.

Technology

AI classification: Agentic AISource: Agentic AI: AI systems that perform tasks or make decisions autonomously with minimal human intervention.
System name(s): ACF Discover
Custom-developed code: Yes
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
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: No
Privacy Impact Assessment: Not reported
Authorization to Operate: Yes
Demographic features: k) None of the above
Training and evaluation data: RAG implementation using commercially-available LLMs and data from FBIS
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