Decide what should be centralized, shared, or local
Evaluate work by volume, complexity, standardization potential, judgment requirements, customer impact, control needs, and proximity to the point of service.
Centralization is not a reporting line. It is a service model. It only works when the work, roles, handoffs, service expectations, systems, controls, and field connection are designed together.
Evaluate work by volume, complexity, standardization potential, judgment requirements, customer impact, control needs, and proximity to the point of service.
Clarify who the service supports, what the service provides, what it does not provide, how work enters the queue, how priorities are set, and how exceptions are handled.
Make the connection between field, function, center, support team, and leadership explicit so issues do not bounce across boundaries.
Create service metrics, quality checks, defect feedback loops, capacity planning, operating reviews, and routines that keep the model responsive and accountable.
The work is designed for organizations where support work is growing, service expectations are rising, field and center roles are unclear, or leaders need to decide what should be centralized, shared, automated, or left close to the customer.
Assess which activities belong in a centralized model, shared service, distributed team, automated workflow, or local operation.
Define scope, roles, service expectations, intake paths, quality expectations, escalation rules, and management routines.
Clarify how distributed teams and central support functions work together without duplicating effort or creating handoff confusion.
Build scorecards, service levels, capacity planning, quality routines, and feedback loops that show whether the model is working.
Volume, repeatability, complexity, local judgment, service impact, control requirements, system needs, and automation potential.
Scope, service levels, turnaround expectations, priority rules, intake channels, customer or field experience, and exception handling.
Central team responsibilities, local team responsibilities, decision rights, handoffs, escalation paths, and relationship management.
Scorecards, quality reviews, capacity planning, feedback loops, operating cadence, risk controls, and continuous improvement routines.
Engagements can be scoped as a centralization review, shared services design sprint, operating model refresh, or transition planning effort.
A clear view of what should be local, centralized, shared, automated, or redesigned first.
Defined scope, intake, roles, handoffs, service expectations, and escalation rules.
Scorecards, capacity views, quality routines, and operating reviews that make service delivery visible.
A practical sequence for moving work, training teams, managing risk, and stabilizing the model.
These related pages can help frame the operating issue before a broader assessment or follow-up conversation.
Clarify roles, decisions, governance, and routines so support models can scale.
Explore →Identify where workflow, automation, or AI can reduce manual support burden.
Explore →Understand whether the service model is reducing cost, complexity, and friction.
Explore →Build defect learning loops, intervention paths, and controls into centralized or shared service models.
Explore →Use the checklist to identify where work placement, role clarity, handoffs, metrics, capacity, and automation readiness need to be clarified before centralizing or scaling support.
Scale That Works helps leaders identify what is working, what is creating drag, and where workflow, workforce, technology, or automation leverage can scale performance.