SBA · SBA-15 · record R3175

ChatGPT for OMS Marketing

Small Business Administration · OFO: Office of Field Operations

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Overview

Development stage: RetiredSource: d) Retired – The use case was reported in the agency’s prior year’s inventory, but its development and/or use has since been discontinued.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: Not high impact: This AI system does not meet the criteria of any of the six pillars that make up High Impact AI in Memorandum M-25-21.
Start date: 2026-01-01 (day precision)Source: 01/01/2026 00:00:00
Withheld from public reporting: NoSource: a) No

Mission

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

Problem the AI is intended to solve

Staff need quick access to relevant information and guidance to efficiently respond to inquiries and make decisions.

Expected benefits

Data-driven predictions, identification of patterns not visible through manual review, improved decision-making accuracy, and optimized resource allocation.

System outputs

ChatGPT (OpenAI) allows users to input prompts/data and then provides answers and outlines. An example of an OMS using it would be to help with an outline for an upcoming newsletter for NSBW and ChatGPT could assist with content layout.

Technology

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

Sourcing

How it was built: Purchased from vendorSource: a) Purchased from a vendor
Vendor (as reported): OpenAI
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: Yes
Privacy Impact Assessment: Not publicly available
Authorization to Operate: Yes
Demographic features: Not applicable - System does not involve individual-level decision-making
Training and evaluation data: Commercial vendor-managed training data. Specific training data sources are proprietary to the vendor.
Federal Data Catalog: Not applicable - Proprietary vendor training data

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 progressSource: b) In-progress

AI impact assessmentReported in progressSource: b) In-progress

Independent reviewReported in progressSource: d) In-progress

Ongoing monitoringReported in progressSource: b) Development of monitoring protocols is in-progress

Operator trainingReported in progressSource: b) Establishment of sufficient and periodic training is in-progress

Fail-safeNot applicableSource: b) Not applicable

Appeal processNot applicableSource: b) Not applicable

User and public consultationReported in progressSource: Planning includes direct usability testing during pilot phase, establishment of feedback mechanisms, and consultation with end users and stakeholders throughout development.Flag: free-text answer

Potential impacts and how they were identified

Impact assessment in progress. Will include stakeholder consultation, testing protocols, and establishment of mitigation measures before deployment.