IT service management (ITSM) focuses on how companies manage and deliver IT services to meet the needs of their employees. It involves a variety of processes, such as incident management (fixing issues), change management (handling changes smoothly), problem management, (identifying and solving the root causes of issues), and service request fulfillment (managing requests for services and support).
ITSM has evolved from a reactive support function to a strategic enabler, delivering better employee experiences and aligning effectively with business goals. By leveraging advanced technologies like AI and automation, ITSM now drives operational excellence, digital transformation, and continuous improvement.
There are several key processes that help keep everything running smoothly in the world of IT service management. Here are some of the most important ones:
IT service management enables organizations to deliver services and support consistently, efficiently, and cost-effectively. By implementing ITSM, you can resolve issues faster, fulfill services more rapidly, and reduce service outages.
For example, with ITSM, organizations can:
ITSM achieves these benefits through:
IT service management software typically leverages both predictive and generative AI to enhance service delivery.
Predictive AI uses statistical analysis and machine learning to forecast outcomes based on existing data. In ITSM, there are several practical applications of predictive AI. For example, AI can automatically detect involved configuration items (CIs) based on the incident description. Another example is change analytics, where AI predicts the success rate of changes and offers suggestions for improvement. Additionally, AI can analyze patterns across incidents to pinpoint problem areas for further investigation.
Generative AI, on the other hand, creates new data or content based on learned patterns. A generative AI virtual agent, capable of understanding user intent and conversing in natural language, can assist users with their service and support requests, answering questions and guiding them through available offerings. Service agents can also interact with these virtual agents to resolve tickets more efficiently by asking them to summarize issues and suggest solutions.
Generative AI extends beyond virtual agents. AI-enriched workflows can be configured to influence or drive the next steps in automation processes. This combination of generative AI and automation is commonly referred to as agentic AI. Agentic AI pairs generative AI with automation to accelerate request fulfillment or solve problems without human intervention. For example, AI can detect changes in user sentiment and trigger workflow actions, such as escalating a ticket or reassigning it to a different support team.
A generative AI virtual agent empowers employee self-service and boosts agent productivity by answering questions, summarizing cases, and suggesting solutions.
Take a tour of GenAI in action for ITSMITIL, which stands for Information Technology Infrastructure Library, is a framework that provides best practices for ITSM, while ITSM is the broader discipline of managing and delivering IT services.
Developed by the UK government in the 1980s in response to the rapid growth of information technology, the ITIL framework provides practical guidance for ITSM through a formalized structure of predefined standards and methodologies. It also emphasizes the continual improvement of services that are offered, delivered, and supported. In essence, the ITIL framework helps organizations define their ITSM strategy and effectively implement it.
Simply put, ITSM is the "what" and ITIL is the "how" of service delivery. For example, in incident management, ITSM requires IT teams to address and resolve incidents to maintain service quality. ITIL provides detailed guidance on handling these incidents, including categorization by nature and impact, determining when and how to escalate, and outlining resolution steps.
Enterprise service management (ESM) is an evolution of ITSM, born from the idea that a service is a service whether it’s for IT or not. It applies the best practices of IT service management—such as service catalogs, streamlined workflows, and self-service support—to non-IT functions like HR, facilities, finance, and sales, even connecting external users with internal support staff.
Whether a service pertains to IT or non-IT, the goal remains the same: to provide efficient, reliable, and user-centric support. Managing services means handling a wide range of requests across departments.
For example, the employee onboarding process requires collaboration between HR, IT, and Facilities to ensure a smooth transition for new hires. The support staff in these departments can leverage a common service management software platform to standardize, automate, and integrate processes, delivering seamless service experiences for new hires. Once HR initiates the onboarding process, automated workflows can provision a new laptop and set up account access, tasks typically handled by IT. Meanwhile, Facilities can be notified to start the process for badge access and office setup.
IT service management software automates the entire lifecycle of IT services, from opening and tracking to prioritizing, approving, and fulfilling requests. It ensures streamlined and efficient processes.
Consider these questions to help you choose the best ITSM software for your organization:
A generative AI virtual agent empowers employee self-service and boosts agent productivity by answering questions, summarizing cases, and suggesting solutions.
Read the OpenText Service Management product overviewTo implement successful ITSM and support business goals, organizations should:
The term “discovery” often comes up alongside CMDB (configuration management database) due to their close relationship. Discovery identifies and catalogs IT assets of all kinds, while the CMDB stores this information. By feeding data into the CMDB, discovery ensures the data is accurate and up to date.
ITSM uses discovered information to:
As services become increasingly complex and move to the cloud, organizations need to enhance their discovery processes to increase IT visibility, minimize service disruptions, and ensure successful changes.
The right discovery tool should discover everything—clouds, networks, storage, software, and dependencies—regardless of how they’re hosted. It should also require minimal changes to configurations, capture dependencies, and allow for easy updates and validations.
Elevate user experiences with generative AI and self-service options