SBA · SBA-17 · record R3177

GovCon Match

Small Business Administration · OCIO: Office of the Chief Information Officer

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: Forecasting and prediction Derived by keyword rules; see methodology

Problem the AI is intended to solve

Identifying trends and predicting outcomes requires analysis of complex data patterns that are difficult to assess manually.

Expected benefits

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

System outputs

This machine learning predictive model enhances federal contracting opportunities for small businesses by predicting agencies most likely to contract with a small business given the small business’s features. A dashboard allows the public to interact.

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): Certify.sba.gov
Custom-developed code: Yes
Public source code: Not publicly available - Government internal use code

Sourcing

How it was built: Developed in-houseSource: b) Developed in-house
Vendor (as reported): Internally created
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: No
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: Federal Procurement Data System
Federal Data Catalog: fpds.gov

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-safeNot applicableSource: b) Not applicable

Appeal processNot applicableSource: b) Not applicable

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 identified through stakeholder consultation, testing, and review of similar AI systems. Mitigation measures include human oversight, monitoring protocols, and feedback mechanisms.