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What is Verizon Knowledge Assist?

When clients bring forth significant questions to your organization, they expect quick and efficient support, even when interacting with automated systems. Knowledge Assist harnesses cutting-edge artificial intelligence and machine learning to empower contact center representatives to resolve customer issues rapidly, accurately, and dependably. This AI-driven knowledge base is fully integrated into the workstations of both contact center and virtual agents, guaranteeing access to up-to-date and precise information and guidance. Our solution aids agents in understanding the underlying intent of customer inquiries, providing consistent answers across multiple channels, building trust, and improving customer experiences. Knowledge Assist equips your contact center staff with relevant and timely information through advanced AI technology. It thoughtfully combines well-structured responses, links to essential data repositories, and analyzes both internal and external documents and websites to create a dynamic knowledge base that highlights the most critical information. This ongoing evolution ensures that agents are consistently armed with the finest resources needed to assist customers effectively, ultimately leading to greater satisfaction and loyalty. Additionally, the adaptability of Knowledge Assist means it can continually refine its offerings based on emerging customer needs and trends.

What is ServiceNow Knowledge Management?

Boosting self-service options for both customers and employees while enhancing agent productivity can be achieved through the use of contextual knowledge driven by machine learning technology. By connecting with the Service Portal, users gain access to extensive knowledge resources, allowing them to conveniently search, browse, and read articles from their desktops or mobile devices. Moreover, analyzing insights into knowledge needs can strengthen self-service functionalities and speed up case resolutions by automatically identifying knowledge shortfalls, which are then assigned to authors for quick remediation. Additionally, promoting the creation of in-context knowledge enables agents and employees to generate pertinent articles while actively engaged in tasks such as handling cases or incidents. This method not only enriches the relevance of knowledge but also employs machine learning to effectively pinpoint and visualize knowledge gaps for appropriate task assignment. In this way, the strategy not only enhances user experience but also drives continuous improvement in service delivery. Ultimately, this holistic approach seeks to facilitate easier access to information and significantly boost overall operational efficiency.

Media

Media

Integrations Supported

Aisera

Integrations Supported

Aisera

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Verizon

Date Founded

1983

Company Location

United States

Company Website

www.verizon.com/business/products/contact-center-cx-solutions/customer-engagement/knowledge-assist/

Company Facts

Organization Name

ServiceNow

Date Founded

2004

Company Location

United States

Company Website

www.servicenow.com/products/knowledge-management.html

Categories and Features

Knowledge Management

Artificial Intelligence (AI)
Cataloging / Categorization
Collaboration
Content Management
Decision Tree
Discussion Boards
Full Text Search
Knowledge Base Management
Self Service Portal

Categories and Features

Knowledge Management

Artificial Intelligence (AI)
Cataloging / Categorization
Collaboration
Content Management
Decision Tree
Discussion Boards
Full Text Search
Knowledge Base Management
Self Service Portal

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