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ServiceNow’s Intelligent IT Service Management: A Comprehensive Guide to Implementing the Platform’s AI Capabilities for IT Managers

Name: ServiceNow’s Intelligent IT Service Management: A Comprehensive Guide to Implementing the Platform’s AI Capabilities for IT Managers
Author: Saaniya Chugh
ISBN: 9798868817069

by Saaniya Chugh

August 2025

Intermediate to advanced

268 pages

5h 49m

English

Apress

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ServiceNow’s Intelligent IT Service Management
Introduction
Introduction Chapter
Acknowledgments
Table of Contents
About the Author
About the Technical Reviewer
Part I: Understanding ServiceNow
1. From Manual Frameworks to Automated Workflows
1.1 The Evolution of ITSM: A Historical Perspective1.2 Challenges of the Traditional ITSM Systems1.3 Timeline of Automation in ITSM1.3.1 How AI Built upon Every Changing Technology1.4 The Role of Automation in Modern ITSM1.4.1 Platforms That Initially Introduced ITSM Solutions1.4.2 Companies That Were Early Adopters of ITSM Solutions1.5 AI Capabilities and the ServiceNow Ecosystem1.5.1 Case Study: Novant Health Streamlines Service Requests with AI Integration1.6 Why Is AI the Ultimate Game-Changer for ITSM?1.7 Summary1.7.1 What Did We Learn?1.7.2 Bonus Thought
2. Overview of ServiceNow’s AI Capabilities
2.1 ServiceNow’s AI-Focused Acquisitions and Partnerships (2020–2025)2.2 Virtual Agent2.3 Automation Discovery2.4 Document Intelligence2.5 Task Intelligence2.6 Predictive Intelligence2.7 Incident Auto Resolution2.8 Generative AI (GenAI)2.9 Now Assist2.10 AI-Powered Analytics2.11 AI Search2.12 Intelligent Workflow Automation2.13 Agentic AI2.14 Large Language Models (LLMs)2.15 Summary2.15.1 What Did We Learn?2.15.2 Bonus Thought
3. Building Intelligent ITSM with AI Solutions
3.1 Organizational Readiness Toward Intelligent Platform Building3.2 Introducing ML and Predictive Intelligence in ITSM3.2.1 How Predictive Intelligence Works3.2.2 Key Benefits of Predictive Intelligence in ITSM3.2.3 Key Use Cases for Predictive Intelligence in ServiceNow3.3 AI Search3.3.1 How AI Search Works3.3.2 Benefits of Using AI Search in ITSM3.3.3 Use Cases of AI Search in ITSM3.4 Automation Discovery3.4.1 How Automation Discovery Works3.4.2 Key Benefits of Using Automation Discovery3.4.3 Use Cases of Using Automation Discovery in ITSM3.5 Incident Auto Resolution for ITSM3.5.1 How IAR for ITSM Works3.5.2 Key Benefits of Using IAR for ITSM3.5.3 Use Cases of Using IAR for ITSM3.6 Task Intelligence3.6.1 How Task Intelligence Works3.6.2 Key Benefits of Using Task Intelligence3.6.3 Use Cases of Using Task Intelligence in ITSM3.7 Document Intelligence3.7.1 How Document Intelligence Works3.7.2 Key Benefits of Using Document Intelligence3.7.3 Use Cases of Using Document Intelligence in ITSM3.8 Virtual Agent (Conversational AI)3.8.1 Configuring the Virtual AgentPersonalization and Customization of Virtual Agent3.8.2 Capabilities of the Virtual Agent3.8.3 Key Benefits of the Virtual Agent in ITSM3.8.4 Virtual Agent and the Service Operations Workspace3.8.5 How Virtual Agent Impacts User and Staff Experience: A Comparative Analysis3.8.6 Importance of LLM for the Virtual Agent3.8.7 Now Assist for Virtual Agent3.9 Summary3.9.1 What Did We Learn?3.9.2 Bonus Thought

4. Road to Transformational Service Experiences
4.1 Organizational Readiness Toward Autonomous Platform Building4.1.1 Strategic Alignment4.1.2 People and Culture4.1.3 Process and Technical Maturity4.1.4 Technical Infrastructure4.1.5 Security, Compliance, and Ethical Preparedness4.1.6 Measurement and Feedback Loops4.1.7 ServiceNow GenAI Readiness Maturity Model4.1.8 The Hidden Dimension: Financial Readiness4.1.9 How to Use This Maturity ModelAI Readiness Heat Matrix (Traffic Light Model)Pace vs. Readiness GridGap Impact Matrix4.2 Capabilities of Generative AI in ServiceNow4.3 How Now Assist Leverages Generative AI4.3.1 How It All Connects: From Query to “Assist”4.3.2 For IT Managers: What You Need to Plan For4.4 Deeper Insights into LLM Capabilities4.5 How Now Assist Transforms Service Operations and User Experience4.5.1 The Bigger Picture: Why This Transforms ITSM4.6 Personalization and Customization with Now Assist4.6.1 Implementation Snapshot: What IT Managers Need to Know4.7 Generative AI and Now Assist Impact on Service Operations and User Experience4.7.1 Takeaway for IT Managers4.8 The Road Ahead: Prospects4.8.1 What’s Coming Next: A Glimpse into the AI-Augmented FuturePredictive Problem-Solving: From Reactive to PreventiveAutonomous Learning Systems: Smarter with Every Interaction4.8.2 What This Means for IT Managers4.9 Summary4.9.1 What Did We Learn?4.9.2 Bonus Thought
Part II: Building Your Journey
5. Leading Your ServiceNow AI Journey for IT Service Management
5.1 Strategic Planning: Laying the Foundation5.1.1 Understanding Your Role As an IT Manager5.1.2 Building a Strong Business Case for AI Implementation5.1.3 Setting Clear Objectives for Your Implementation5.1.4 Identifying Use Cases for Your Implementation5.2 Creating the Roadmap for AI Integration in ITSM5.3 Assessing the Current Platform Landscape5.3.1 What It Means to Assess Your Platform5.4 Building the Right Infrastructure5.5 Building a Skilled Team/Resource Allocation5.6 Implementation5.6.1 Planning: Turning Vision into Blueprints5.6.2 Execution: Moving from Pilot to Powerhouse5.6.3 Managing Change During Implementation5.7 Measure Outcomes and ROI5.8 Plan for Expansion and Scalability5.8.1 How to Continuously Improve and Optimize My AI Models?5.9 Governance and Responsible AI5.10 How to Avoid Pitfalls When Implementing ServiceNow’s AI Capabilities5.10.1 How to Avoid These Challenges?5.11 Best Practices for Driving Strategy to Implementation Effectively5.11.1 Building an AI-Ready Data Foundation5.11.2 Training Your Team5.12 Summary5.12.1 What Did We Learn5.12.2 Bonus Thought
6. Maximizing ROI with ServiceNow AI Capabilities and Avoiding Value Traps
6.1 Defining ROI in the Context of AI and ITSM6.1.1 Financial ROI: Direct Cost Savings6.1.2 Operational ROI: Efficiency and Effectiveness6.1.3 Strategic ROI: Value-Added Outcomes6.1.4 How IT Managers Can Start Assessing ROI6.1.5 Importance of Measuring ROI in AI Implementations6.1.6 Methodologies for Capturing Value6.2 Tracking and Measuring ROI6.2.1 Tools for Measuring AI ROI in ServiceNow6.3 Strategies to Maximize ROI from This Implementation6.4 Continuous Improvement and Refinement-The Real Work Begins After Launch6.5 Real-World Case Studies: Maximizing ROI with ServiceNow AI6.5.1 Case Study 1: Predictive Intelligence in IT Help Desk6.5.2 Case Study 2: Virtual Agents for Service Requests6.6 Overcoming Common Challenges to Maximize ROI6.7 Best Practices for Ensuring ROI in ServiceNow AI Implementations6.8 Key Takeaways for Maximizing ROI with ServiceNow AI6.9 Value Traps in ServiceNow Implementations6.10 Common Value Traps in ServiceNow Implementations6.11 Strategies for Avoiding Value Traps6.12 Summary6.12.1 What Did We Learn6.12.2 Bonus Thought
7. Future Trends in AI and ITSM: Preparing for Tomorrow’s Advancements
7.1 The Future of AI in ITSM7.2 Agentic AI: The Future of Autonomous ITSM7.2.1 Why Agentic AI Should Be Relevant to IT Managers Today7.2.2 Agentic AI’s Role in ITSM7.3 ServiceNow’s Large Language Model (LLM): Enhancing ITSM Automation7.3.1 What Is ServiceNow’s LLM and Why Does It Matter?7.4 ServiceNow’s Strategic Collaborations: Powering the Future of AI-Driven ITSM7.5 Preparing for the Future of AI Capabilities in ITSM7.6 Summary7.6.1 What Did We Learn7.6.2 Bonus Thought
8. Governance and Management of AI in ServiceNow
8.1 The Need for Governance in ITSM8.1.1 Quick Governance Checklist for IT Managers8.2 Core Components of AI Governance in ServiceNow8.3 Ethical AI Deployment in ServiceNow8.3.1 Ethical AI Checklist for IT Managers8.4 Why Do We Need Governance?8.5 Embedding Responsible AI into ServiceNow Governance8.6 Key Tools and Plugins for AI Governance in ServiceNow8.7 Preparing for AI Governance Challenges in the Future8.8 Summary8.8.1 What Did We Learn8.8.2 Bonus Thought
9. Use Cases and Exceptional Experiences in ITSM
9.1 Use Cases9.1.1 Use Case 1: Predictive Incident Management and Proactive SupportKey Features9.1.2 Use Case 2: Service Catalog Automation with AIKey Features9.1.3 Use Case 3: AI-Enhanced Change ManagementKey Features9.1.4 Use Case 4: Proactive Problem ManagementKey Features9.1.5 Use Case 5: Virtual Agent and Chatbots in Incident ResolutionKey Features9.1.6 Use Case 6: AI-Enhanced Knowledge ManagementKey Features9.1.7 AI Opportunity Prioritization MatrixHow to Use This MatrixSelf-Scoring Table for Internal UseTakeaways for IT Managers9.2 The Importance of Exceptional Experiences in ITSM9.2.1 The Importance of User-Centered Design in AIKey Principles of User-Centered Design for AI9.2.2 Designing the End-User Experience for Seamless InteractionsKey Principles to Follow9.2.3 Designing for Mobile Experiences with ServiceNow AI9.3 Summary9.3.1 What Did We Learn9.3.2 Bonus Thought
10. AI Strategic Readiness Workshop
10.1 Introduction10.2 What Is AI Readiness?10.2.1 The Six Pillars of AI Readiness10.3 Worksheet 1-AI Maturity Model and Self-Assessment10.3.1 Step 1: Evaluate Yourself10.3.2 How to Interpret Your Score10.4 Worksheet 2-AI Use Case Discovery and Prioritization10.4.1 Step 2: Identify Key Business Pain Points10.4.2 Step 3: Use Case Scoring Matrix10.5 Worksheet 3-AI Pilot Planning Template10.5.1 Step 410.6 Worksheet 4-AI Governance and Risk Checklist10.6.1 Step 510.7 Worksheet 5-Readiness Reflection and Roadmap10.7.1 Step 610.8 Worksheet 6-Final Act10.8.1 Step 7: Are You AI-Ready? One-Line Summary10.9 Workshop Summary and Action Plan
Conclusion Chapter
Glossary
Key Terms
ServiceNow Resources for Self-Learning
1. ServiceNow Documentation Portal2. Now Learning (ServiceNow Learning Platform)3. ServiceNow Community4. ServiceNow Developer Portal5. NowCreate (ServiceNow Implementation Methodology)6. ServiceNow Customer Success Stories7. ServiceNow Support and Knowledge Base (HI Portal)8. ServiceNow Blog9. ServiceNow Events and Webinars10. Now Platform Release Notes11. Customer Success CenterTips for Maximizing Value from These Resources
References and Further Reading
Chapter 1ReferencesFurther ReadingChapter 2ReferencesFurther ReadingChapter 3ReferencesFurther ReadingChapter 4ReferencesFurther ReadingChapter 5ReferencesFurther ReadingChapter 6ReferencesFurther ReadingChapter 7ReferencesFurther ReadingChapter 8ReferencesReferencesFurther ReadingChapter 9ReferencesFurther Reading
Index

Content preview from ServiceNow’s Intelligent IT Service Management: A Comprehensive Guide to Implementing the Platform’s AI Capabilities for IT Managers

S. ChughServiceNow’s Intelligent IT Service Managementhttps://doi.org/10.1007/979-8-8688-1706-9_9

9. Use Cases and Exceptional Experiences in ITSM

Saaniya Chugh¹

(1)

Montreal, Canada

The tipping point didn’t come with a system crash. It came with a question.

“Why are we still reacting to problems when we’ve invested so much in AI?”, Michael, whom we all know by now, had heard this during a quarterly executive review. His team had implemented automated triage, deployed a chatbot for common requests, and built predictive models for capacity alerts. The metrics showed improvement, but the executive team wanted transformation at an organizational level, across ...

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ServiceNow’s Intelligent IT Service Management: A Comprehensive Guide to Implementing the Platform’s AI Capabilities for IT Managers

by Saaniya Chugh

9. Use Cases and Exceptional Experiences in ITSM

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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