SBA · SBA-3 · record R3165

Audit Green Book Classification

Small Business Administration · OCFO: Office of the Chief Financial Officer

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: No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

Manual classification and tagging of audits and recommendations according to OMB Green Book taxonomy is labor-intensive and prone to inconsistency.

Expected benefits

Consistent classification improves audit tracking, enables better trend analysis, streamlines reporting to OMB and OIG, and reduces staff time spent on categorization.

System outputs

Classification model for tagging OMB and OIG audits and recommendations. This will be used for internal operations and managing the audit process.

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): Audit Green Book Classification
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): In-house development
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: Yes
Privacy Impact Assessment: Not publicly available
Authorization to Operate: Yes
Demographic features: None - Classification based on audit type and findings, not individual characteristics
Training and evaluation data: Internal data from Integrity coded by OSMEI staff according to the OMB Green Book taxonomy.
Federal Data Catalog: Not applicable - Internal agency data not publicly disclosed

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

Potential impacts include identification of non-compliant activities. Impacts identified through legal review and consultation with program offices. Mitigation includes human oversight and validation of findings.