Modernizing IT Ops with AI The Definitive Guide for Service and Operations Leaders
This white paper demystifies GenAI, RAG, and agentic AI, and shows how they drive faster resolutions, lower costs, and better user experiences. A must-read for leaders ready to put AI to work, securely and responsibly.
ABOUT THE REPORT
Your essential guide to cutting through the AI noise and making a real impact in the world of service and operations management.
Since the launch of ChatGPT, AI has dominated every tech conversation. But for service and operations leaders, the real question is: How do I use AI to actually solve problems?
This Xurrent whitepaper offers a no-BS, deeply practical guide to AI in the context of modern IT operations. You’ll learn what matters, what’s hype, and how to move forward with confidence.
✅ Demystify key AI terms like NLP, GenAI, RAG, and Agentic AI
✅ Explore real-world use cases that reduce MTTR, automate busywork, and improve user satisfaction
✅ Learn the importance of secure, explainable AI that delivers measurable results
Who Is It For?
This guide is designed for technology leaders responsible for keeping IT operations resilient, responsive, and efficient. Whether you're evaluating AI for the first time or refining an existing strategy, this whitepaper is for:
Service Desk Managers looking to scale support without scaling headcount
IT Operations Leaders aiming to reduce noise, downtime, and resolution times
CIOs and CTOs seeking clarity on the ROI and risks of enterprise AI
Platform Owners & Architects evaluating AI capabilities across ITSM and ESM platforms
MSPs and VARs wanting to offer AI-powered service delivery to their clients
Digital Transformation Teams modernizing workflows and optimizing processes across departments
Why This Whitepaper Matters
This isn’t just another AI ebook. It’s a field guide, crafted for IT leaders looking to make smart, secure, and practical decisions about AI adoption in service operations.
Inside the Guide
🔍 AI 101: Understand foundational AI concepts — from neural nets to transformers
💡 In-Context Use Cases: Real examples of AI improving ticket triage, knowledge base creation, and incident response
🔐 Responsible AI: How to handle data privacy, hallucination risk, and compliance
📊 Proven Business Impact: See how teams are improving resolution speed and cutting operational costs
🚀 What’s Next: A look at Agentic AI, intelligent automation, and the future of proactive service and operations management
