TREAS · 31 · record R2763

AI Use Case Review and Evaluation Workflow

Department of the Treasury · Office of the Comptroller of the Currency (OCC)

Overview

Development stage: PilotSource: b) Pilot – The use case has been deployed in a limited test or pilot capacity.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: This tool provides a structured assessment across five key dimensions—Bias, Ethics, Business Value, Risk, and Technical Excellence—to support informed value discussions for new AI services
Start date: 2026-01-15 (day precision)Source: 1/15/2026
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Information Technology
Operational functions: Claims and case processing Derived by keyword rules; see methodology

Problem the AI is intended to solve

Enable a structured assessment across five key dimensions—Bias, Ethics, Business Value, Risk, and Technical Excellence—to support informed value discussions for new AI services, including both Commercial off the Shelf (COTS) solutions and custom-developed capabilities

Expected benefits

This assessment framework provides a consistent, transparent method for evaluating AI solutions, ensuring that key considerations such as Bias, Ethics, Risk, and Technical Excellence are rigorously examined. It supports more informed decision-making, strengthens governance, and helps align AI investments with organizational value and compliance expectations.

System outputs

The AI Suitability Plan delivers a comprehensive assessment package that reflects the perspective of each evaluation domain and functions as an assistant to the subject-matter experts in those areas. Its outputs offer structured, domain-specific analyses across Bias, Ethics, Business Value, Risk, and Technical Excellence, supporting SMEs with consistent, well-informed inputs to guide final decisions on AI suitability.”

Technology

AI classification: Agentic AISource: Agentic AI: AI systems that perform tasks or make decisions autonomously with minimal human intervention.
System name(s): Not reported
Custom-developed code: Yes
Public source code: Not reported

Sourcing

How it was built: Developed in-houseSource: b) Developed in-house
Vendor (as reported): Not reported
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 reported
Authorization to Operate: No
Demographic features: k) None of the above
Training and evaluation data: No agency data is used to train the model
Federal Data Catalog: Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingNo answer reported

AI impact assessmentNo answer reported

Independent reviewNo answer reported

Ongoing monitoringNo answer reported

Operator trainingNo answer reported

Fail-safeNo answer reported

Appeal processNo answer reported

User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported