Federal AI Intelligence
Menu
Snapshot · OMB 2025 inventory · processed Oct 11, 2026
VA · VA-25-2578 · record R2193

Internal QMS Processes Revamp

Department of Veterans Affairs · VHA: Veterans Health 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 high-impactSource: c) Not high-impact
Impact justification
Not reported
Start date
Not reported
Withheld from public reporting
Not reported

Mission

Topic area
Other
Operational functions
Document processing and extraction, Software development assistance, Search and knowledge retrieval Derived by keyword rules; see methodology

Problem the AI is intended to solve

1. Planning & Restructuring Assistant: Utilize GPT-4x (or more advanced available models with reasoning capabilities) to analyze current QMS structures, identify optimization opportunities, and generate actionable restructuring plans. 2. Document Classification System: Implement GPT-4x with structured output to automatically classify, tag, and organize QMS documentation based on content, purpose, and relevance. 3. Code Development Support: Assist developers with code generation, optimization. 4. VBECS Knowledge Base: Build a Retrieval Augmented Generation (RAG) system using embeddings to create a searchable repository of VBECS system knowledge. 5. Intelligent RAG Access Agent: Create an agentic interface using GPT-4x that can intelligently navigate the VBECS knowledge base to retrieve precise information and answer complex queries. AI does not directly output SOPs. Instead, it provides information and guidance to assist a human in drafting the SOPs. The final output is created by a person based on the tool’s suggestions and support.

Expected benefits

Assists us with meeting regulatory deadlines in February 2026.

System outputs

Internal Documentations such as SOP (Standard Operating Procedures)

Technology

AI classification
Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
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