As companies expand, evolve, and respond to market shifts, their organizational structures must keep pace. Business restructuring is the process of realigning people, processes, and technology to match where the organization is headed. It is one of the most overlooked components of digital transformation, yet it is also one of the most important. Without it, even the best technology investments can fall short of delivering real business value.

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ToggleWhy Restructuring Matters in a Digital Transformation
Numerous internal and external factors drive the need for restructuring: macroeconomic trends, evolving customer requirements, organic growth, mergers and acquisitions, and divestitures. Organizations that fail to restructure alongside their technology initiatives risk building new systems on top of outdated operating models.
In our experience, the organizations that get the most value from their digital transformation are those that treat restructuring as a core part of the initiative, not something to deal with after go-live. Restructuring enables innovation, agility, and the ability to respond to change, all of which give organizations a meaningful competitive advantage in their market.
Organizational Efficiency
One of the primary drivers for restructuring is maximizing organizational efficiency. This involves examining how people spend their time, identifying bottlenecks, and eliminating redundancies that limit productivity across departments.
A common example is the transition to a shared services model. Organizations that have grown through acquisition often have duplicative HR, accounting, and IT functions across business units. Consolidating these departments into a centralized team with a common operating model allows the organization to do more with fewer resources.
Even without moving to shared services, organizations can uncover significant efficiency gains by establishing robust metrics to measure throughput, costs, and activity across roles. When we advise clients preparing for a transformation that involves restructuring, we recommend starting with these operational metrics so that improvements can be measured against a clear baseline. Optimizing these areas can create more responsive, agile structures that maximize the value of your broader digital transformation strategy.
Competencies and Skills
Beyond efficiency, restructuring also requires evaluating organizational effectiveness. What competencies and skills does the organization currently possess, and what will it need to execute its future-state business processes?
Organizations often discover that upskilling their workforce can significantly enhance capabilities without requiring a full reorganization. In some cases, this means developing new analytical or technical skills within existing roles. In others, it means redefining roles entirely to match the demands of a modernized operating model.
Technology plays a key role here as well. By incorporating AI and machine learning capabilities into day-to-day operations, organizations can automate repetitive tasks and free people to focus on higher-value, strategic work. This is an important aspect of restructuring because it forces organizations to evaluate not just what their people do today, but what they should be doing in the future to scale for growth and increase effectiveness.
Business Process Alignment
Before you can restructure the organization, you need to understand your processes. This means documenting how work gets done today and defining what those processes should look like in the future.
Defining the future-state business process and the roles required to execute those processes is a prerequisite for organizational design. Without this clarity, restructuring efforts become guesswork. In our experience, organizations that invest in thorough business process analysis before restructuring make faster, more confident decisions about how to realign their teams.
Process alignment also reveals where technology upgrades are needed. If your current tools are forcing manual workarounds, no amount of restructuring will fix the underlying problem. The process work must come first, followed by the technology decisions that enable it.
Technology Alignment
Technology is what makes restructuring possible at scale. Manual or inefficient processes will only allow for minor improvements, but they will not provide the transformative boost needed to scale for growth, increase agility, or build intelligence into the organization.
For example, machine learning can automate the purchase order and invoice approval process. Instead of requiring staff to manually perform three-way matching on every transaction, the technology handles routine approvals automatically and flags exceptions for human review. This frees procurement teams to focus on strategic activities like supplier relationship management and cost optimization, opening up opportunities to restructure roles and responsibilities.
When evaluating which technologies to invest in as part of your restructuring, it helps to work with advisors who understand the full landscape. An independent ERP selection and implementation process ensures that the technology you choose actually supports your restructured operating model rather than constraining it.
Change Management Strategy
Restructuring only delivers value if people successfully transition from the current state to the future state. That is where change management comes in.
Once you have defined your future-state business processes, technology roadmap, and organizational restructuring plan, the focus must shift to helping people adapt. This includes communication, training, role transition support, and leadership alignment. In our experience, the organizations that handle restructuring most effectively are those that build a dedicated organizational change management strategy into the project plan from the start, not as a reaction to resistance after the fact.
If change management is not handled appropriately, restructuring efforts will not yield the desired results, no matter how sound the business case or how capable the technology.
When Should You Restructure?
One of the most common questions we hear is whether restructuring should happen before, during, or after a digital transformation. The answer depends on the organization, but in most cases, restructuring should be planned in parallel with the technology initiative and executed in phases.
Restructuring too early, before future-state processes are defined, risks building an organization around assumptions that may change. Restructuring too late means the new technology launches into an operating model that was not designed for it. The key is to recognize that restructuring is an integral piece of the transformation, and it needs to be integrated and aligned with everything else you are doing.
When we advise clients on timing, we recommend defining the restructuring direction during the design phase of the transformation and beginning to execute organizational changes during the testing and training phases, well before go-live.
What Is the Difference Between Business Restructuring and Organizational Change Management?
Business restructuring focuses on the structural changes themselves: redefining roles, consolidating functions, realigning reporting relationships, and redesigning operating models. Organizational change management is the discipline of helping people navigate those changes successfully.
Both are essential, and they must work together. Restructuring without change management leads to confusion, resistance, and attrition. Change management without restructuring means you are helping people adapt to an operating model that may no longer be fit for purpose. The most successful transformations we see are those where both are planned and executed as a coordinated effort.
How Does Business Restructuring Affect Employees?
Restructuring inevitably creates uncertainty for employees. Roles may change, reporting lines may shift, and some positions may be consolidated or eliminated. How the organization communicates and manages this process makes all the difference.
In our experience, transparency is the single most important factor. Employees who understand why changes are happening, what the future state looks like, and how they fit into it are far more likely to engage positively with the transformation. Organizations that try to restructure quietly or delay communication until the last minute almost always face stronger resistance and higher turnover.
Investing in upskilling and career development as part of restructuring also sends a strong signal that the organization values its people, even as roles evolve.
How Do You Know If Your Organization Needs Restructuring?
There are several indicators that restructuring may be necessary:
- Multiple departments or business units performing the same functions independently
- High operational costs relative to output in specific areas
- Difficulty scaling processes as the organization grows
- Significant reliance on manual workarounds to compensate for system or process gaps
- Misalignment between current roles and the skills required for future-state operations
If any of these apply to your organization, restructuring should be a core part of your supply chain, operations, and technology transformation planning, not an afterthought.
If you are preparing for a transformation and want guidance on how to approach restructuring alongside your technology initiative, contact us at eric.kimberling@thirdstage-consulting.com.
Eric is recognized globally as a leading voice in digital transformation and ERP strategy. Over the past two decades, he has helped hundreds of organizations – including Nucor Steel, Fisher & Paykel Healthcare, Kodak, Coors, Boeing, and Duke Energy – define their technology roadmaps, modernize complex operations, and deliver real business value from large-scale transformation initiatives.
As Founder and CEO of Third Stage Consulting, Eric leads an independent, technology-agnostic advisory firm focused on helping clients navigate the shift from traditional ERP to more flexible, AI-enabled Digital Enterprise Operations (DEO) models. His work spans ERP selection, implementation quality assurance, organizational change, and operating model design across a wide range of industries and geographies.
Eric is also a prolific thought leader, known for his pragmatic takes on AI, cloud, and enterprise software trends, as well as his firm’s benchmark research and frameworks for de-risking transformation. He is dedicated to helping executive teams cut through vendor hype, make confident investment decisions, and successfully reach the “third stage” of their digital evolution.