TREAS · TREAS-IRS-96 · record R2862

AI Assisted Business Process Mapping

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: Administrative Functions
Operational functions: No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

This project utilizes Large Language Model (LLM) to produce a library of IRS business process maps and optionally integrate them into knowledge graphs based on Internal Revenue Manual (IRM), the IRS processing codes (Document 6209) and other pertinent documents. In addition, a custom tool will assist users with prompt engineering to drill down on a specific business area with additional desktop guides and standard operating procedures (SOPs).

Expected benefits

This is for the IRS internal use to drive efficiency by mapping processes and helping identifying bottlenecks along the way. The library of the business process map will be a good companion to IRM, Document 6209 and valuable resources to the IRS employees.

System outputs

Business process maps in standard BPMN (Business Process Model and Notation) or knowledge graph.

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