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