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An IT operating model defines how an organization's people, processes, governance, and technology work together to deliver effective IT services. Learn the core components, common operating models, benefits, and best practices for building a modern IT organization.
Level
Tuesday, June 23, 2026
An IT operating model defines how an organization structures its people, processes, governance, and technology to deliver IT services that support business objectives. Rather than focusing on specific tools or technologies, it establishes how work gets done, who makes decisions, how services are delivered, and how IT continuously improves over time.
As organizations adopt cloud platforms, hybrid work, automation, and evolving cybersecurity practices, a well-defined IT operating model helps ensure technology investments remain aligned with business priorities while improving consistency, accountability, and service delivery.
An IT operating model is the blueprint for how an IT organization operates. It defines the organizational structure, governance, processes, capabilities, and responsibilities that enable IT teams to deliver value to the business.
The ITIL Framework describes service management as a system for creating value through the coordinated use of people, processes, technology, partners, and continual improvement. Similarly, COBIT provides a governance and management framework that helps organizations align enterprise goals with information and technology while managing performance, risk, and compliance.
An IT operating model is not a single document or methodology. Instead, it serves as the foundation for how an organization's IT function plans, delivers, operates, governs, and improves its services.
Although every organization tailors its operating model to its own needs, most successful models include five foundational components.
Governance defines how technology decisions are made, how priorities are established, and how accountability is maintained across the organization.
According to ISO/IEC 38500:2024, effective governance helps organizations evaluate, direct, and monitor the use of information technology so it supports organizational objectives while remaining effective, efficient, and responsible.
Governance typically includes:
An operating model defines who is responsible for planning, delivering, supporting, and improving IT services.
Depending on the organization, this may include teams responsible for:
Clearly defined responsibilities improve accountability and reduce confusion across teams.
Processes establish how work moves through the IT organization, from planning and implementation to operations and continual improvement.
The ITIL 4 Foundation introduces the Service Value Chain, which connects activities such as planning, improving, designing, transitioning, obtaining or building, delivering, and supporting services into an integrated operating system.
Rather than treating each activity independently, the Service Value Chain encourages organizations to view service delivery as an ongoing cycle of value creation and improvement.
Enterprise architecture helps ensure technology decisions support long-term business strategy.
The TOGAF Standard, 10th Edition provides guidance for designing, planning, implementing, and governing enterprise architecture so organizations can manage complexity while maintaining alignment between business objectives and technology capabilities.
Architecture also helps establish standards that improve interoperability, simplify modernization efforts, and reduce unnecessary duplication.
Modern IT operating models integrate governance, cybersecurity, and performance measurement rather than treating them as separate disciplines.
The NIST Cybersecurity Framework 2.0 introduced the Govern function to emphasize that cybersecurity governance should be integrated into enterprise leadership, organizational risk management, and decision making.
Performance measurement is equally important. COBIT and the GAO Information Technology Investment Management Framework both emphasize measuring performance, evaluating outcomes, and continuously improving organizational capabilities.
Organizations commonly adopt one of three operating models depending on their structure and business needs.
A centralized operating model places most IT functions under a single organization. Standards, governance, infrastructure, and support are managed centrally, improving consistency and operational control.
A decentralized model allows business units to manage their own technology resources independently. This provides flexibility for individual departments but can result in duplicated systems and inconsistent governance.
A federated operating model combines centralized governance with decentralized execution. Enterprise-wide standards remain consistent while business units retain flexibility to address local requirements.
Research on digital service teams suggests this balanced approach allows organizations to maintain governance while enabling faster, more responsive service delivery through empowered teams.
Organizations implement IT operating models to improve how technology supports the business.
Governance frameworks such as COBIT help organizations align technology initiatives with enterprise objectives, ensuring IT investments support business priorities.
Documented processes and clearly defined responsibilities improve consistency across service delivery activities.
The ITIL Framework emphasizes delivering value through coordinated service management practices supported by continual improvement.
An operating model establishes clear decision-making authority, defined responsibilities, and measurable objectives.
Government guidance such as OMB Circular A-130 demonstrates how governance supports strategic management of information resources through oversight, planning, security, privacy, and risk management.
Integrating governance and cybersecurity enables organizations to incorporate security considerations into planning, operations, and decision making.
The NIST Cybersecurity Framework 2.0 reinforces governance as a core organizational responsibility rather than a standalone technical function.
Effective operating models encourage organizations to regularly evaluate performance, measure outcomes, and refine processes over time.
Both COBIT and the GAO Information Technology Investment Management Framework emphasize continual assessment and maturity as part of effective technology management.
Organizations typically evolve their operating models through continuous refinement rather than large-scale organizational redesign.
Best practices include:
These practices are reflected across multiple public-sector frameworks. The UK's Technology Code of Practice encourages organizations to design technology around user needs, open standards, security, and sustainability. The Service Standard promotes iterative delivery, measurable outcomes, and continual improvement throughout the service lifecycle.
Similarly, the U.S. Digital Service's Digital Services Playbook recommends multidisciplinary teams, agile delivery, user-centered design, and iterative development. Guidance from the U.S. General Services Administration on de-risking technology projects encourages incremental delivery, early validation, and proactive risk management to improve project outcomes.
Australia's Digital Service Standard likewise emphasizes designing services that are user-focused, accessible, measurable, secure, and continuously improved.
Although the terms are often used together, an IT operating model and IT service management (ITSM) are not the same.
An IT operating model defines how the IT organization is structured, governed, and managed. It establishes roles, responsibilities, governance, organizational capabilities, and decision-making processes.
IT service management focuses on the practices used to deliver and support IT services. Frameworks such as ITIL provide guidance on incident management, change enablement, service requests, problem management, and continual improvement within the broader operating model.
In other words, the operating model defines how the organization functions, while ITSM provides many of the operational practices used within that structure.
An IT operating model defines how work should be performed, while technology platforms help teams execute that work consistently.
Remote monitoring and management (RMM) software provides visibility into endpoint health, automates routine maintenance, monitors devices, deploys updates, and helps IT teams respond to operational issues more efficiently.
For managed service providers and internal IT departments, an RMM platform such as Level can support an organization's operating model by improving operational visibility, automation, and consistency while complementing established governance and service management practices.
An IT operating model defines how an organization's IT function is structured, governed, and managed to deliver technology services that support business objectives.
It provides a consistent framework for governance, service delivery, decision making, risk management, and continual improvement across the IT organization.
An IT operating model defines how the IT organization operates. Enterprise architecture focuses on designing and governing technology capabilities that support business strategy.
IT governance focuses on decision making, accountability, and oversight. An IT operating model includes governance while also defining organizational structure, processes, capabilities, and service delivery.
An IT operating model provides the organizational foundation for delivering technology services effectively and consistently. By combining governance, clearly defined responsibilities, standardized processes, enterprise architecture, cybersecurity, and continual improvement, organizations can better align IT with business objectives while improving operational performance.
Technology alone does not create an effective IT organization. A well-designed operating model ensures that people, processes, governance, and technology work together to deliver reliable, secure, and continuously improving IT services.
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