VA · VA-25-651 · record R2213

AI Incident Management

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

Overview

Development stage: PilotSource: b) Pilot – The use case has been deployed in a limited test or pilot capacity.
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: Risk scoring and triage Derived by keyword rules; see methodology

Problem the AI is intended to solve

The proposed AI system, referred to as the AI Incident Management (AIM), is designed to aid in faster problem determination and remediation during High Priority (HPI) and Critical Priority (CPI) Incidents impacting the performance or availability of critical systems.

Expected benefits

By leveraging historical data, real-time performance monitoring, and advanced machine learning models, the system will identify potential causes and suggest remediation actions in real time, significantly reducing downtime and improving system reliability and resiliency.

System outputs

1. Aggregate data from multiple monitoring and incident management tools. 2. Use a Large Language Model (LLM) to analyze, correlate, and interpret this data. 3. Provide actionable insights and recommendations to IT personnel during incident triage.

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: Yes
Public source code: Not reported

Sourcing

How it was built: Purchased from vendorSource: a) Purchased from a vendor
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