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AI for IT Service Desk Knowledge Bases: Convert tickets into articles, improve troubleshooting content, and keep internal support information useful in Ottawa, ON
AI for IT Service Desk Knowledge Bases: Convert tickets into articles, improve troubleshooting content, and keep internal support information useful in Ottawa, ON
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Service desk teams often have valuable answers buried in ticket history, scattered across outdated documents, or trapped in the experience of individual agents. AI for IT Service Desk Knowledge Bases shows you how to turn that hidden knowledge into accurate, useful support content that helps people solve problems faster.Samuel Ortega presents a practical guide to using AI and ChatGPT workflows for knowledge management, from identifying reusable information in resolved tickets to drafting, editing, verifying, and publishing internal support articles. You'll learn how to write troubleshooting steps that people can follow, protect sensitive data, govern AI-assisted content, and keep your knowledge base current as systems and services change.The book begins with an introduction to a knowledge-first service desk, then moves through focused chapters on ticket analysis, AI-assisted article creation, content quality, review processes, data protection, maintenance, measurement, and program growth. A concluding perspective helps you apply these practices consistently across your support operation.Whether you manage an IT help desk, create technical documentation, or are improving an internal knowledge base, this guide offers practical methods for making support information clearer, more reliable, and easier to maintain.
Service desk teams often have valuable answers buried in ticket history, scattered across outdated documents, or trapped in the experience of individual agents. AI for IT Service Desk Knowledge Bases shows you how to turn that hidden knowledge into accurate, useful support content that helps people solve problems faster.Samuel Ortega presents a practical guide to using AI and ChatGPT workflows for knowledge management, from identifying reusable information in resolved tickets to drafting, editing, verifying, and publishing internal support articles. You'll learn how to write troubleshooting steps that people can follow, protect sensitive data, govern AI-assisted content, and keep your knowledge base current as systems and services change.The book begins with an introduction to a knowledge-first service desk, then moves through focused chapters on ticket analysis, AI-assisted article creation, content quality, review processes, data protection, maintenance, measurement, and program growth. A concluding perspective helps you apply these practices consistently across your support operation.Whether you manage an IT help desk, create technical documentation, or are improving an internal knowledge base, this guide offers practical methods for making support information clearer, more reliable, and easier to maintain.
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