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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
HHS · no agency ID · record R0754

CCSQ Now Assist for CSM

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

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
Summarization, Public-facing customer service Derived by keyword rules; see methodology

Problem the AI is intended to solve

CCSQ Now Assist for CSM (Customer Service Management) is a product inside ServiceNow (SaaS).  It integrates Gen AI with CSM, and uses Now LLM (ServiceNow native Large Language Model) to generate contents based on machine learning (ML).  Now Assist for CSM helps agents to improve productivity and efficiency and deliver better services.    Improve agents' responsiveness and productivity * Quickly get familiar with a case/chat by getting case/chat summarization * Quickly resolve the case by using auto-generated resolution notes.

Expected benefits

CCSQ Now Assist for CSM (Customer Service Management) is a product inside ServiceNow (SaaS).  It integrates Gen AI with CSM, and uses Now LLM (ServiceNow native Large Language Model) to generate contents based on machine learning (ML).  Now Assist for CSM helps agents to improve productivity and efficiency and deliver better services.    Improve agents' responsiveness and productivity * Quickly get familiar with a case/chat by getting case/chat summarization * Quickly resolve the case by using auto-generated resolution notes.

System outputs

Agents have quick access to  - Case summarization - Chat and agent hand-off summarization - Resolution Notes Generation

Technology

AI classification
Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
System name(s)
Quality Service Center (QSC)
Custom-developed code
Yes
Public source code
Not reported

Sourcing

How it was built
Purchased from vendorSource: a) Purchased from a vendor
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
Yes
Privacy Impact Assessment
Not reported
Authorization to Operate
Yes
Demographic features
k) None of the above
Training and evaluation data
Historical CCSQ ServiceNow case data
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