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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
HHS · no agency ID · record R1033

GrantSolutions Recipient Risk Tool

Department of Health and Human Services · HHS/ASFR/OG

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
2019-03 (month precision)Source: Mar-19
Withheld from public reporting
NoSource: a) No

Mission

Topic area
Service Delivery
Operational functions
Fraud, waste and improper payments, Risk scoring and triage Derived by keyword rules; see methodology

Problem the AI is intended to solve

Grant managers need an efficient method to conduct risk assessments before issuing financial assistance awards to prevent fraud, waste, and abuse.

Expected benefits

Automates repetitive workflows, reduces manual effort, delivers actionable insights, and accelerates accurate, transparent decisions across the grant lifecycle.

System outputs

Generates a risk score for each prospective recipient and lists the top contributing factors (e.g. prior findings) and data sources.

Technology

AI classification
Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
System name(s)
GrantSolutions
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)
Internal Federal Shared Service (GrantSolutions)
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
Yes
Demographic features
k) None of the above
Training and evaluation data
Historical grant documents
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