Integrate Word Processor AI for Digitalization

Overview

Development stage

DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.

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

2025-08-12 (day precision)Source: 8/12/2025

Withheld from public reporting

NoSource: a) No

Mission

Topic area

Service Delivery

Operational functions

Translation and transcription, Claims and case processing Derived by keyword rules; see methodology

Problem the AI is intended to solve

The intended purpose of the Digitalization Enablement Platform (DEP) and the integration of AI into processing taxpayer submitted documents is to minimize the transcription and storage of paper documents, streamline case management, and enhance the accuracy and efficiency with which taxpayer information is extracted, organized, and made accessible. The expected benefits include a massive reduction in physical storage requirements, cost savings, improved data security, a reduction in backlogged cases, and improved service.

Expected benefits

Use of this system automates what formally required IRS staff to transcribe data form taxpayer submitted forms. This OCR automation, allows for the faster processing of taxpayer submissions and for efficiencies of IRS staff time.

System outputs

The AI will extract taxpayer information from IRS forms agnostic of any demographic bias, in accordance with federal AI use regulations and standards.

Technology

AI classification

Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…

System name(s)

Not reported

Custom-developed code

Yes

Public source code

Not reported

Sourcing

How it was built

Contract and in-houseSource: c) Developed with both contracting and in-house resources

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

Yes

Demographic features

k) None of the above

Training and evaluation data

The project team created a Synthetic Data Generator (SDG) to generate sample IRS completed forms in order to train the AI models. Approximately 50 to 100 synthetically generated form are used to both train and test the AI models.

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.

Potential impacts and how they were identified

Not reported