VA · VA-24-1815 · record R2318

Analytics, Data, and Decision Support Unified Platform (ADDSUP)

Department of Veterans Affairs · OALC: Office of Acquisitions Logistics, and Construction

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: Not reported
Withheld from public reporting: Not reported

Mission

Topic area: Procurement and Financial Management
Operational functions: Procurement and acquisition Derived by keyword rules; see methodology

Problem the AI is intended to solve

Reduce unmanaged and inefficient spend and duplicative contracts. Provide proper analytics of VA spend and Data Sharing across the agency.

Expected benefits

- Increased Spend Under Management and improved cost avoidance ($20B realized so far). - Improved acquisition time and quality of acquisition packages.

System outputs

Data analytics resulting from the canvasing of over 900K acquisition documents. Prescriptive analytics identifying proper acquisition strategies.

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: No
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): 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