LOUISVILLE, KENTUCKY
ATLANTA, GEORGIA
CHICAGO, ILLINOIS
CINCINNATI, OHIO
DENVER, COLORADO
HARRISBURG, PENNSYLVANIA
MADISON, WISCONSIN
RARITAN, NEW JERSEY
TORONTO, ONTARIO
BANGALORE, INDIA
HYDERABAD, INDIA

V-Soft's Corporate Headquarters

101 Bullitt Lane, Suite #205
Louisville, KY 40222

502.425.8425
TOLL FREE: 844.425.8425
FAX: 502.412.5869

Denver, Colorado

6400 South Fiddlers Green Circle Suite #1150
Greenwood Village, CO 80111

TOLL FREE: 844.425.8425

Chicago, Illinois

5215 Old Orchard Road Suite #950
Skokie, IL 60077

TOLL FREE: 844.425.8425

Madison, Wisconsin

8401 Greenway Boulevard Suite #100
Middleton, WI 53562

TOLL FREE: 844.425.8425

Harrisburg, Pennsylvania

4813 Jonestown Road Suite #103
Harrisburg, PA 17109

TOLL FREE: 844.425.8425

Atlanta, Georgia

1255 Peachtree Parkway Suite #4201
Cumming, GA 30041

TOLL FREE: 844.425.8425

Cincinnati, Ohio

Spectrum Office Tower 11260
Chester Road Suite 350
Cincinnati, OH 45246

Phone: 513.771.0050

Raritan, New Jersey

216 Route 206 Suite 22 Hillsborough Raritan, NJ 08844

Phone: 513.771.0050

Toronto, Canada

1 St. Clair Ave W Suite #902, Toronto, Ontario, M4V 1K6

Phone: 416.663.0900

Hyderabad, India

Incor 9, 3rd Floor, Kavuri Hills
Madhapur, Hyderabad – 500033 India

PHONE: 040-48482789

Bangalore, India

GINSERV, CA Site No 1, HAL
3rd Stage Behind Hotel Leela Palace
Kodihalli, Bangalore - 560008 India

Save Your Time With ServiceNow Agent Intelligence

ServiceNow Agent Intelligence team discussing

Agent intelligence is an artificial intelligence solution built on the ServiceNow platform. ServiceNow Agent intelligence will help your business to improve productivity and eliminates bottlenecks, which in-turn leads to high customer satisfaction. Explore in detail how ServiceNow agent intelligence works and saves your business costs and time. 

Agent Intelligence Overview

Almost three-quarters of CIOs surveyed (72 percent) are leading digitization efforts, and more than half (53 percent) say machine learning is a focus."

The Global CIO Point of View 

AI solutions use machine learning algorithms to deliver predictions based on user input. With the help of machine learning algorithms, AI will understand patterns and predict intelligent outcomes without human intervention.

With the help of agent intelligence ServiceNow will categorize, route, and assign work based on the unique characteristics of each customer. The AI solutions will be prepared by looking at thousands of historical records (i.e., incidents, cases, requests), based on the newly prepared solution the correct categorization, priority, and routing information is applied, decreasing the time it takes to resolve a task. This automation helps to optimize resources and processes, improve customer satisfaction, and ensure energies are focused on innovation and strategic high-value activities.

Benefits of Agent Intelligence

  • While working with the manual process, there will be so many errors and bottlenecks will get created. With the help of AI, we can eliminate the bottlenecks and can decrease the error rates and improves productivity results in less downtime.
  • With fewer error rates, the productivity of IT teams will improve gradually. With the automation process end, users will get results in less downtime.
  • We can achieve great end user/customer satisfaction with AI.
  • Automating manual tasks will greatly save time and resources.

Roles

No specific roles are required to work with agent intelligence application. Users with the admin role can perform/work with this application.

Prerequisites

  • Customer needs to purchase this application from ServiceNow to enjoy the agent intelligence application services.
  • ServiceNow system administrator needs to clone the sub production instance to implement Agent intelligence to test whether this application is running fine or not.
  • Need to maintain minimum 30 thousand records in sub production instance in which you want to implement the application to prepare/predict accurate solution.

AI Benchmark Against Peers

Boston consulting group and MIT Sloan management review

AI Preparation

  • Data Quality: Gather and make sure the data which will be used for AI is as clean as possible.
  • KPIs: KPI’s are major in ServiceNow. With the help of AI, we can improve our KPIs, average resolution time, customer satisfaction factors-open/re-assignment counts and other KPIs, prior to beginning implementation.
  • Inputs and Outputs: Agent Intelligence is by default categorizes and assign requests. If you want to provide more information to determine the correct category and assignment group (i.e. Location), make sure to add respective additional inputs to the solution definitions.
  • Forecast Organizational Change: It is important to estimate the organizational change. Before implementing agent intelligence, we need to create and implement an organizational change plan so as to check if these changes work with the decision makers.

AI Process

  • Need to select the table to implement AI predictions.
  • Need to gather min 30 thousand records of the respective table to train the solution.
  • Can give a maximum of 5 input fields to make predictions.
  • Only one output field can be selected. The output field is predicted, such as category, priority, or assignment group.
  • Frequency, which specifies how often to re-train the solution i.e. (daily, weekly, bi-weekly, monthly, etc.)
  • Once training is completed, we can implement the solutions in the respective instance to make it available for end users.
ServiceNow Agent Intelligent Process

 Figure: ServiceNow agent intelligent process. Source: ServiceNow Saba Cloud

Dashboard

Solution statistics dashboard will help us determine if a solution has enough precision and coverage for each class. If the class doesn’t have enough precision and coverage, then identify the class that requires configuration or retraining with a new solution definition filter. The solution statistics dashboard lists the coverage and distribution for every category of active solutions.

ServiceNow London Guide

About The Author

dileep peddiDileep Peddi has 4.5 years of experience as a ServiceNow developer. He is a ServiceNow certified ITSM suit professional, ServiceNow admin, developer, implementation specialist on ITSM and ServiceNow micro certified in agent intelligence, virtual agent, performance analytics, enterprise onboarding and transitions. He has very good knowledge in ServiceNow configurations and implementations. He is also skilled in ITSM, CMDB, Discovery, HRSD and JavaScript.

 

 

Topics: ServiceNow, Artificial Intelligence, Agent Intelligence

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