Federal AI Intelligence
Menu
Snapshot · OMB 2025 inventory · processed Oct 11, 2026
GSA · no agency ID · record R1192

No-Code Text and Sentiment Analysis with XM Discover

General Services Administration

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 reported
Impact justification
Not reported
Start date
Not reported
Withheld from public reporting
Not reported

Mission

Topic area
Service Delivery
Operational functions
Summarization Derived by keyword rules; see methodology

Problem the AI is intended to solve

The AI in this use case is intended to solve the problem of efficiently conducting text and sentiment analysis on qualitative feedback in a no-code environment. This allows GSA to gain a more nuanced view of customer sentiment and connect text feedback to key survey metrics and operational data for more thorough insights, moving beyond simple text summarization. Ultimately, the AI helps GSA to improve its ability to make data-driven decisions regarding customer needs.

Expected benefits

Not reported

System outputs

Not reported

Technology

AI classification
Natural language processingSource: Natural Language Processing: AI that processes, interprets, and shares information in human language.
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