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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
DOE · DOE-498 · record R3359

ChatGPT Enterprise

Department of Energy · LANL - Los Alamos National Lab (LAFO)

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
General purpose business system
Start date
2024-05-27 (day precision)Source: 2024-05-27T00:00:00
Withheld from public reporting
NoSource: a) No

Mission

Topic area
Administrative Functions
Operational functions
Search and knowledge retrieval Derived by keyword rules; see methodology

Problem the AI is intended to solve

"General business productivity, research of AI models "

Expected benefits

General business productivity, research of AI models

System outputs

Interactive text chat replies from user prompts, summaries of open/public/unrestricted documents user submitted for Retrieval Augmented Generation (RAG) through CustomGPTs

Technology

AI classification
Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
System name(s)
ChatGPT Enterprise
Custom-developed code
No
Public source code
Not reported

Sourcing

How it was built
Purchased from vendorSource: a) Purchased from a vendor
Vendor (as reported)
OpenAI (SAAS hosting provider)
Vendors (standardized)
OpenAI

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII
No
Privacy Impact Assessment
Not reported
Authorization to Operate
No
Demographic features
k) None of the above
Training and evaluation data
Not trained on any agency or LANL data
Federal Data Catalog
Not reported

Governance

8 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingReported in placeSource: a) Yes
AI impact assessmentReported in progressSource: b) In-progress
Independent reviewReported in placeSource: a) Yes – by another appropriate agency office or reviewer not directly involved in the AI’s development
Ongoing monitoringReported in placeSource: a) Yes, sufficient monitoring protocols have been established
Operator trainingReported in placeSource: a) Yes, sufficient and periodic training has been established
Fail-safeNot applicableSource: b) Not applicable
Appeal processNot applicableSource: b) Not applicable
User and public consultationReported in placeSource: a) Direct usability testing

Potential impacts and how they were identified

Positive impact on laboratory cost/time efficency by making a market-leading research tool available to all LANL employees