SBA · SBA-14 · record R3174

AI for Small Business Development w/Copilot, Gemini or ChatGPT

Small Business Administration · OFO: Office of Field Operations

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 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: Software development assistance, Forecasting and prediction Derived by keyword rules; see methodology

Problem the AI is intended to solve

SBA program managers need data-driven insights to identify at-risk 8(a) participants and predict growth trajectories to provide timely interventions and support.

Expected benefits

Predictive analytics enable proactive intervention for at-risk participants, optimize resource allocation for business development specialists, and improve success rates for 8(a) program participants.

System outputs

We work with small businesses at the speed of business. Having access to AI in the district office will allow us help business owners create financial forecast for loans, marketing/sales strategies and conduct market research for their industry.

Technology

AI classification: Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
System name(s): AI for Small Business Development w/Copilot, Gemini or ChatGPT
Custom-developed code: No
Public source code: unknown

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: None - System does not use race, ethnicity, gender, age, or other protected characteristics as model features
Training and evaluation data: There is AI ethics training available on TMC
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 placeSource: a) Yes

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-safeReported in placeSource: a) Yes

Appeal processReported in placeSource: a) Yes, an appropriate appeal process has been established

User and public consultationReported in placeSource: Direct usability testing with end users, regular feedback sessions with operators, and incorporation of user suggestions into system updates. Ongoing consultation with program stakeholders and subject matter experts.Flag: free-text answer

Potential impacts and how they were identified

Potential impacts include lending decisions affecting small businesses. Impacts identified through stakeholder consultation, pilot testing, and review of similar systems. Mitigation includes human review of all decisions and appeal processes.