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The Ultimate ITSM Glossary

Vaishali Gopi

ITSM is becoming increasingly popular, not just within the IT industry but elsewhere as well. ITSM has applications in various industries and processes and can help improve overall functioning of various kinds of organizations.

If you are new to ITSM and want to know some of the important terms associated with it, here is a quick guide to help you with the basics.

What is ITSM?

ITSM, or Information technology Service Management, or IT Service Management, is an approach to managing various IT services, processes, and activities to ensure service delivery to customers. It is a customer-centric approach that focuses on handling customer requests, requirements, and complaints such that there is timely delivery of quality IT services.

The idea of using ITSM is to ensure minimum downtime and a high level of customer satisfaction, which it does by ensuring optimum utilization of organizational resources. There are a number of ITSM software and tools that help perform various activities and implement processes as part of service delivery in the IT service industry.

Ultimate ITSM Glossary of Terms

These are some of the most important terms you need to know when working with ITSM, especially as a provider of services.

1. ITIL: It stands for IT Infrastructure Library, and is a framework for implementing and using ITSM. It is, in a way, a best practices guide for the various service delivery processes and activities. ITIL is often used synonymously with ITSM, although it is incorrect usage to use these terms interchangeably.

2. Service desk / help desk: This is possibly one of the most important and basic aspects of ITSM implementation. A service desk is a sort of central operations center for managing personnel, requests, complaints, and general day-to-day functioning of IT services. A service relationship management system (SRMS) is an ITSM tool that ensures efficient management of service requests, from generation till fulfilment. SRMS can be used for internal as well as external service request management by organizations.

3. Service lifecycle management: Lifecycle of a service includes need identification, modeling and development, publishing in a service catalogue, collection of feedback from customers and end users, and evaluation of all the acquired data for continuous improvement, refinement, and growth. Processes and activities need to be well coordinated for every service through its lifecycle to ensure smooth functioning of the service and a high level of customer satisfaction.

4. BRM: It stands for Business Relationship Management and refers to building and maintaining good relations with customers. In any service organization, and IT service providers are no exception, one of the most important aspects of business is to ensure prompt customer communication and good relationships with customers.

5. BYOD: It stands for bring your own device, a practice that is becoming increasingly common. Employees like to use their own devices as opposed to company-provided devices, and many employees now work remotely using their own devices for company purposes. BYOD ensures data security and availability and installation of required software on these external devices to ensure smooth functioning of the various processes handled by such employees.

6. Six Sigma: In IT services and ITSM, as in all businesses, Six Sigma refers to near perfection through the elimination of defects. It involves using structured processes and guidelines to minimize defects and disruptions, and provide near-perfect services to customers.

7. Service portfolio management: When providing a range of IT services, ITSM requires coordination to present all the services on offer to customer is a way that is easy to follow and uses simple language. It also helps manage internal processes in the organization to align them with customer requirements and provide the right services at the right time.

8. ISO 20000: As an organization providing ITSM-related services, if you wish to be certified, the ISO/IEC 20000 certification is what you should aim to get. It is an international compliance standard set by the International Standards Organization (ISO). It sets standards for improving service delivery and customer service to provide high quality services.

9. Incident management: An incident in IT services is any disruption in the service being provided, either internally or to external customers. Incident management refer to managing these disruptions effectively and efficiently in the best possible way and in the least time possible. Good incident management can reduce overall ITSM costs and lead to better customer service and satisfaction. The effectiveness of incident management processes are crucial when dealing with major incidents that can cause long periods of service downtime and major disruption of business unless dealt with immediately.

10. ERM: It stands for Enterprise Request Management and is used internally by organizations to efficiently manage their IT services. It is a tracking and service mechanism that can be used by employees to track their service requests, procure equipment, or check the status of their requests. ERM involves automation, scheduling processes, and the involvement of multiple departments within the organization at times.

11. COBIT: It refers to Control Objectives for Information and related Technology and is a set of guidelines for IT services to ensure data security and good governance standards. Originally published in 1996 as a general guidelines for all IT services, the latest version deals primarily with ITSM-related processes.

12. Agile methodology: As the name suggests, it is a methodology used by IT services to speed up the process of issue resolution and order procurement for physical items in a quick and efficient manner. It allows for flexibility and easy changes to plans and lists, which helps work effectively with remote and mobile employees within the organization.

13. Workaround: A workaround is a temporary solution offers to users or affected employees when dealing with IT service issues that affect functioning. A workaround ensures the downtime for users and employees is minimized while the actual problem is resolved. It is usually used when there is no immediate resolution possible for major issues.

14. Capability Maturity Model (CMM): This model is a methodology used by IT organizations to continually improve their services and processes to deliver these services. It consists of levels of increasingly refined structures and processes that organizations must strive to achieve. It also involved standardization of IT services for better service delivery.

There are a number of terms related to ITSM and ITIL that have not been included here. Some are general service provider and service delivery terms that are also used in ITSM, such as front office and back office, key performance indicators or KPIs, and service catalogues. These terms may have specific applications in the context of ITSM but retain their original meanings otherwise.

Hot Topics

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The Ultimate ITSM Glossary

Vaishali Gopi

ITSM is becoming increasingly popular, not just within the IT industry but elsewhere as well. ITSM has applications in various industries and processes and can help improve overall functioning of various kinds of organizations.

If you are new to ITSM and want to know some of the important terms associated with it, here is a quick guide to help you with the basics.

What is ITSM?

ITSM, or Information technology Service Management, or IT Service Management, is an approach to managing various IT services, processes, and activities to ensure service delivery to customers. It is a customer-centric approach that focuses on handling customer requests, requirements, and complaints such that there is timely delivery of quality IT services.

The idea of using ITSM is to ensure minimum downtime and a high level of customer satisfaction, which it does by ensuring optimum utilization of organizational resources. There are a number of ITSM software and tools that help perform various activities and implement processes as part of service delivery in the IT service industry.

Ultimate ITSM Glossary of Terms

These are some of the most important terms you need to know when working with ITSM, especially as a provider of services.

1. ITIL: It stands for IT Infrastructure Library, and is a framework for implementing and using ITSM. It is, in a way, a best practices guide for the various service delivery processes and activities. ITIL is often used synonymously with ITSM, although it is incorrect usage to use these terms interchangeably.

2. Service desk / help desk: This is possibly one of the most important and basic aspects of ITSM implementation. A service desk is a sort of central operations center for managing personnel, requests, complaints, and general day-to-day functioning of IT services. A service relationship management system (SRMS) is an ITSM tool that ensures efficient management of service requests, from generation till fulfilment. SRMS can be used for internal as well as external service request management by organizations.

3. Service lifecycle management: Lifecycle of a service includes need identification, modeling and development, publishing in a service catalogue, collection of feedback from customers and end users, and evaluation of all the acquired data for continuous improvement, refinement, and growth. Processes and activities need to be well coordinated for every service through its lifecycle to ensure smooth functioning of the service and a high level of customer satisfaction.

4. BRM: It stands for Business Relationship Management and refers to building and maintaining good relations with customers. In any service organization, and IT service providers are no exception, one of the most important aspects of business is to ensure prompt customer communication and good relationships with customers.

5. BYOD: It stands for bring your own device, a practice that is becoming increasingly common. Employees like to use their own devices as opposed to company-provided devices, and many employees now work remotely using their own devices for company purposes. BYOD ensures data security and availability and installation of required software on these external devices to ensure smooth functioning of the various processes handled by such employees.

6. Six Sigma: In IT services and ITSM, as in all businesses, Six Sigma refers to near perfection through the elimination of defects. It involves using structured processes and guidelines to minimize defects and disruptions, and provide near-perfect services to customers.

7. Service portfolio management: When providing a range of IT services, ITSM requires coordination to present all the services on offer to customer is a way that is easy to follow and uses simple language. It also helps manage internal processes in the organization to align them with customer requirements and provide the right services at the right time.

8. ISO 20000: As an organization providing ITSM-related services, if you wish to be certified, the ISO/IEC 20000 certification is what you should aim to get. It is an international compliance standard set by the International Standards Organization (ISO). It sets standards for improving service delivery and customer service to provide high quality services.

9. Incident management: An incident in IT services is any disruption in the service being provided, either internally or to external customers. Incident management refer to managing these disruptions effectively and efficiently in the best possible way and in the least time possible. Good incident management can reduce overall ITSM costs and lead to better customer service and satisfaction. The effectiveness of incident management processes are crucial when dealing with major incidents that can cause long periods of service downtime and major disruption of business unless dealt with immediately.

10. ERM: It stands for Enterprise Request Management and is used internally by organizations to efficiently manage their IT services. It is a tracking and service mechanism that can be used by employees to track their service requests, procure equipment, or check the status of their requests. ERM involves automation, scheduling processes, and the involvement of multiple departments within the organization at times.

11. COBIT: It refers to Control Objectives for Information and related Technology and is a set of guidelines for IT services to ensure data security and good governance standards. Originally published in 1996 as a general guidelines for all IT services, the latest version deals primarily with ITSM-related processes.

12. Agile methodology: As the name suggests, it is a methodology used by IT services to speed up the process of issue resolution and order procurement for physical items in a quick and efficient manner. It allows for flexibility and easy changes to plans and lists, which helps work effectively with remote and mobile employees within the organization.

13. Workaround: A workaround is a temporary solution offers to users or affected employees when dealing with IT service issues that affect functioning. A workaround ensures the downtime for users and employees is minimized while the actual problem is resolved. It is usually used when there is no immediate resolution possible for major issues.

14. Capability Maturity Model (CMM): This model is a methodology used by IT organizations to continually improve their services and processes to deliver these services. It consists of levels of increasingly refined structures and processes that organizations must strive to achieve. It also involved standardization of IT services for better service delivery.

There are a number of terms related to ITSM and ITIL that have not been included here. Some are general service provider and service delivery terms that are also used in ITSM, such as front office and back office, key performance indicators or KPIs, and service catalogues. These terms may have specific applications in the context of ITSM but retain their original meanings otherwise.

Hot Topics

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.