TREAS · TREAS-IRS-114 · record R2826

Zero Paper AI Routing for Digitalization

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: Document processing and extraction Derived by keyword rules; see methodology

Problem the AI is intended to solve

The Zero-Paper Initiative (ZPI) aims to eliminate the flow of paper into the IRS. As a result, all non-tax, mail submissions from taxpayers will be scanned through external vendors to enable the routing of digital documents and their associated data to the IRS for further processing/review. The digital documents and associated data will be routed downstream to various business units and processing systems based on the form type and other similar criteria. Leverages AI to make routing decisions at various levels of complexity as well as using AI to support routing at record processing time or as a tool to generate routing logic dictionaries.

Expected benefits

The expected benefits are: Automated routing: to instantly analyze form type or other characteristics to determine where files should be sent, removing delays from manual handling; Reduced bottlenecks: Files are less likely to get stuck in queues or misrouted, which speeds up workflows and improves efficiency; Pattern recognition: The system can be trained to recognize patterns in file characteristics and ensure they’re routed consistently according to rules or learned behaviors; Error reduction: the system will help reduce misfiling and simplify logic such as duplication prevention; Handling large volumes: The system will be able to scale, allowing it to handle larger workflows which would require additional efforts otherwise; Dynamic adaptation: The system will be able to easily adjust to the addition or removal of downstream systems or changes in routing processes without requiring significant system overhauls.

System outputs

The output is the respective route or downstream system each digital package should be routed to.

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: 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