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.
Potential impacts and how they were identified
Not reported