GSA · no agency ID · record R1164

AI-Powered Visibility for Supply and Vendor Risk Resilience

General Services Administration

Overview

Development stage: In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.
High-impact designation: Not reported
Impact justification: Not reported
Start date: Not reported
Withheld from public reporting: Not reported

Mission

Topic area: Procurement and Financial Management
Operational functions: Fraud, waste and improper payments, Procurement and acquisition Derived by keyword rules; see methodology

Problem the AI is intended to solve

The AI system is designed to solve the problem of managing risks in the federal supply chain and with third-party vendors by transforming traditional reactive risk management into a predictive and strategic capability. It addresses issues such as time-consuming manual evaluations, complexity in regulatory compliance (e.g., Buy American Act, CMMC), risks in federal procurement contracts (compliance, financial, geopolitical), procurement fraud, and disruptions from global events, ultimately aiming to ensure continuous access to essential supplies and protect against high-risk products or companies.

Expected benefits

Not reported

System outputs

Not reported

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): Not reported
Custom-developed code: Not reported
Public source code: Not reported

Sourcing

How it was built: Not reported
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: Not reported
Privacy Impact Assessment: Not reported
Authorization to Operate: Not reported
Demographic features: Not reported
Training and evaluation data: Not reported
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