Federal / Audit / Finance
No-Code Text and Sentiment Analysis with XM Discover
Exact public inventory row
Description
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.
AI / analytics pattern
Natural Language Processing (NLP)
Automation level / stage
c) Deployed - The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
Efficiency, productivity, service quality
Controls / human review
Inventory row should be validated against agency governance and M-25-21 controls.