SBA · SBA-16 · record R3176

Gemini AI for Strategic Planning

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

Problem the AI is intended to solve

Manual processing and analysis is resource-intensive and may lack the speed and consistency needed for effective operations.

Expected benefits

Increased operational efficiency, reduced manual processing time, improved consistency and accuracy, and enhanced mission delivery.

System outputs

Synthesize multiple team research, threads and ideas for strategic planning purposes.

Technology

AI classification: Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
System name(s): Gemini AI for Strategic Planning
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): Gemini
Vendors (standardized): Google

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: 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 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.