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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
HHS · no agency ID · record R0809

IDR Support Bot

Department of Health and Human Services · HHS/CMS/OIT

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
Not reported
Start date
2025-07 (month precision)Source: Jul-25
Withheld from public reporting
NoSource: a) No

Mission

Topic area
Information Technology
Operational functions
Chatbot or virtual assistant, Search and knowledge retrieval Derived by keyword rules; see methodology

Problem the AI is intended to solve

The IDR Support Bot is an AI-powered chatbot that makes it easier for CMS users to get the IDR information they need, when they need it. It answers questions about IDR terminology, tools and services, onboarding steps, available data, training content, key contacts, and more—without the hassle of submitting a support request or digging through pages of documentation.

Expected benefits

Any CMS user with an active ID can use the IDR Support Bot to gain a foundational understanding of the IDR, its data offerings, and how to navigate its resources. The IDR Support Bot leverages retrieval-augmented generation (RAG) technology to provide accurate and contextually relevant responses to user queries. By combining a structured knowledge base with real-time document retrieval, IDR Support Bot ensures that users receive up-to-date and comprehensive information about the IDR.

System outputs

The IDR Support Bot leverages retrieval-augmented generation (RAG) technology to provide accurate and contextually relevant responses to user queries.

Technology

AI classification
Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
System name(s)
Integrated Data Repository (IDR) Cloud
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)
GDIT
Vendors (standardized)
GDIT

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
General information about the IDR, such as terminology, tools and services, onboarding steps, available data, training content, key contacts, and more.
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