TREAS · TREAS-IRS-125 · record R2829

Integrated Financial Management Information System (IFMIS)

Department of the Treasury · Internal Revenue Service (IRS)

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: The output is not presumed to be high-impact and is not used as the principal basis for significant decisions/actions
Start date: Not reported
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Information Technology
Operational functions: Forecasting and prediction Derived by keyword rules; see methodology

Problem the AI is intended to solve

This initiative enables quantitative decision-making that supports improved budget forecasting, formulation, planning, execution, and reporting based on approved methodologies.

Expected benefits

The outcome will be a deeper understanding of IT interdependencies and integrated processes and systems.

System outputs

Recommended solutions based on various scenarios considering current budget, forecasted demand, pending legislation, projects in various lifecycle stages, statutory requirements, high-impact deliverables, risk, and the various trade-offs necessary for leadership to make the most informed choice. Improved communications and workflow to expedite and speed up decision making and delivery within in the IT Business Unit.

Technology

AI classification: Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
System name(s): Not reported
Custom-developed code: Not reported
Public source code: Not reported

Sourcing

How it was built: Not reported
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: Not reported
Privacy Impact Assessment: Not reported
Authorization to Operate: Not reported
Demographic features: Not reported
Training and evaluation data: Not reported
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