DOE · DOE-689 · record R3544

Software Implementation Assistant

Department of Energy · SRS - ESB - Savannah River Site - Enterprise System Boundary (SRFO)

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: This AI use case primarily assists in planning and document-related tasks for software implementations and does not significantly affect legal, material, or binding rights or critical access to services.
Start date: 2024-10-01 (day precision)Source: 2024-10-01T00:00:00
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Information Technology
Operational functions: No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

This AI solution is designed to streamline the process of software implementation by automating crucial planning tasks, technical documentation, and risk assessments, which typically demand significant time and effort. The solution aims to support ju

Expected benefits

The AI solution is expected to enhance the agency's mission by reducing the time, effort, and complexity involved in software implementation efforts, leading to significant cost savings. It will improve project planning, standardize technical documentation, aid junior resources, and allow subject matter experts to focus on critical tasks, ultimately improving project outcomes and resource utilization for the public's benefit.

System outputs

The AI system outputs detailed project plans, organized tasks, technical documents, use cases, test scripts, and risk assessments specific to the software implementation project and application.

Technology

AI classification: Agentic AISource: Agentic AI: AI systems that perform tasks or make decisions autonomously with minimal human intervention.
System name(s): Not reported
Custom-developed code: Not reported
Public source code: Not reported

Sourcing

How it was built: Developed in-houseSource: b) Developed in-house
Vendor (as reported): Purchased from a Vendor - Tabnine
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