Master Claims Assistance Tool (M-CAT)

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

Not reported

Start date

Not reported

Withheld from public reporting

Not reported

Mission

Topic area

Government Benefits Processing

Operational functions

Summarization, Search and knowledge retrieval Derived by keyword rules; see methodology

Problem the AI is intended to solve

M-CAT is designed to automatically classify, extract, and validate critical information from diverse regulatory and/or policy references. This includes the automation of complex data extraction tasks, which are traditionally time-consuming and prone to human error. M-CAT provides quick access to regulatory and/or policy guidance and summarizes information within the prescribed Retrieval-Augmented Generation (RAG) model. These retrieval results are maintained for each user and aggregated to inform focused training support needs. The overall generated response includes contextual integration, interactive elements for source expansion, feedback mechanism, displays current trending topics as suggested queries, and provides prompted follow-up questions post query.

Expected benefits

M-CAT provides quick access to regulatory and/or policy guidance and summarizes information within the prescribed RAG model, guiding end-users to achieve a clearer understanding and clearer implementation of VA policy. Access to this information improves processing capabilities which immediately transition to more timely and accurate delivery of benefits.

System outputs

M-CAT provides quick access to regulatory and/or policy guidance and summarizes information within the prescribed RAG model. These retrieval results are maintained for each user and aggregated to inform focused training support needs. The overall generated response includes contextual integration, interactive elements for source expansion, feedback mechanism, displaying current trending topics as suggested queries, and providing prompted follow-up questions post query.

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

Yes

Public source code

huggingface.co ↗

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

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.

Potential impacts and how they were identified

Not reported