VA · VA-25-6170 · record R2165

ECC Automated Knowledge Management

Department of Veterans Affairs · OIT: Office of Information & Technology

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: Information Technology
Operational functions: Search and knowledge retrieval Derived by keyword rules; see methodology

Problem the AI is intended to solve

Currently, teams manually review and update Knowledge Articles, often without clear prioritization. This leads to rework, inefficiencies, and missed opportunities to align knowledge with real-time service changes. An AI-driven approach will streamline this process and ensure knowledge is kept current and relevant.

Expected benefits

This initiative is expected to improve efficiency by 20% in the Minimum Viable Product (MVP), and grow as the agent creates and modifies knowledge.

System outputs

The MVP is planned in 2 phases with different outputs. The 1st phase of the MVP is to produce a prioritized list of knowledge articles for the Integration and Sustainment team to modify based on inputs from multiple data sources. The 2nd phase of the MVP will output a complete knowledge article that will be reviewed by a person for accuracy and completeness.

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