VeriSM Professional key terms

A service management approach that helps an organization deliver value by combining management practices, emerging technologies, and organizational context rather than imposing a single fixed framework.

The set of capabilities and practices an organization uses to plan, deliver, support, and improve services so that customers receive value in the form they need.

A means of delivering value by facilitating outcomes customers want, without the customer owning the specific costs and risks involved in providing it.

The perceived benefit a customer or stakeholder receives from a service, judged by whether outcomes are achieved and costs and risks are acceptable.

The result or change in state that a customer wants to achieve through using a service, expressed in the customer's terms rather than the provider's outputs.

The flexible set of resources, practices, technologies, and partners that an organization assembles and adjusts to deliver a service, chosen according to context rather than fixed by a single framework.

A lifecycle model with stages from define through produce, operating as a continuous loop that starts from organizational context and feeds learning back into the mesh.

The VeriSM stage in which the organizational context, market, and customer needs are examined to establish the scope and direction of a service initiative.

The VeriSM stage where the service is created or assembled, drawing on mesh elements such as practices, technology, and partners to deliver the required outcome.

The VeriSM stage in which the service is made available to consumers and supported, ensuring it meets agreed expectations and remains fit for use.

The VeriSM stage covering actual use of the service by customers, where value is realized and feedback about performance and satisfaction is generated.

The VeriSM stage where the organization reacts to feedback, demand changes, and incidents, adjusting the mesh and services so outcomes continue to be met.

The internal and external circumstances of an organization, including culture, size, regulation, market, and strategy, that shape how services should be managed.

The system by which an organization is directed and controlled, setting direction, decision rights, and accountability so that service delivery supports organizational objectives.

Adherence to laws, regulations, standards, and internal policies that apply to an organization, verified through controls and evidence rather than assumed.

The effect of uncertainty on objectives, assessed in terms of likelihood and impact, and managed by treating, transferring, avoiding, or accepting it.

Modern ways of working such as agile, lean, DevOps, and continuous improvement that an organization can blend into its mesh instead of adopting a single rigid method.

A collaborative way of working that unites development and operations teams around shared goals, automation, and fast feedback to improve delivery flow and reliability.

An iterative approach to work that delivers value in small increments, welcomes changing requirements, and relies on cross-functional teams and frequent customer feedback.

A practice focused on removing waste from processes, improving flow, and delivering value with fewer resources by understanding what the customer actually values.

An ongoing effort to improve services, practices, and outcomes through measurement, learning, and deliberate change rather than one-off corrective projects.

A mechanism that returns information about service performance or customer experience to decision-makers so that the mesh and services can be adjusted.

A relatively new or fast-developing technology, such as cloud, artificial intelligence, or automation, that can change how services are produced and consumed.

Delivery of computing resources such as servers, storage, and software over a network on demand, typically with pay-per-use pricing and elastic scaling.

Computer systems that perform tasks associated with human intelligence, such as pattern recognition, prediction, and language processing, often used to augment service work.

Using technology to execute repetitive or rule-based tasks with little or no human intervention, aiming for consistency, speed, and reduced manual effort.

A conversational software agent that interacts with users through natural language to answer questions, guide tasks, or hand off to a human agent.

A cloud model where the provider manages infrastructure and scales automatically, and the customer pays only for resources consumed by executed code.

Continuous integration and continuous delivery or deployment: practices that automate building, testing, and releasing changes so software reaches users quickly and reliably.

A fundamental change in how an organization operates and delivers value, enabled by digital technology and affecting processes, culture, and customer experience.

The smallest version of a service that delivers real value to early customers, allowing testing of assumptions before further investment.

The role accountable for a service across its lifecycle, including its value proposition, performance, and alignment with customer and business needs.

A documented agreement between a provider and a customer that states expected service levels, responsibilities, and consequences when targets are not met.

A group that brings together people with different skills and perspectives to deliver a complete outcome, reducing handoffs and speeding up decisions.

The structured approach to helping people adopt new ways of working, addressing skills, communication, and resistance so that change actually sticks.

The sequence of activities and resources an organization uses to create and deliver value to a customer, analyzed to remove delays and waste.

Selecting meaningful indicators, collecting data, and communicating results so that decisions about services and the mesh are evidence-based.