CMS Chat

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

2024-12 (month precision)Source: Dec-24

Withheld from public reporting

NoSource: a) No

Mission

Topic area

Information Technology

Operational functions

Chatbot or virtual assistant Derived by keyword rules; see methodology

Problem the AI is intended to solve

Workforce productivity and operational efficiency

Expected benefits

The expected benefits include significant productivity gains and enhanced operational efficiency through streamlined work.

System outputs

CMS Chat generates text-based responses including drafted content for emails and reports, document summaries and analysis, synthesized findings, brainstormed ideas, and answers to queries - all delivered through a conversational interface .

Technology

AI classification

Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).

System name(s)

CEDAR

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)

Skyward IT Solutions

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

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