What Dysfunctional Systems Are Preventing Your Organization from Making the Changes Your Strategy Requires?
It’s Monday morning at a mid-sized professional services company. Six months ago, the executive team announced an ambitious new strategy. The organization intends to become more agile, innovative, customer-focused, and significantly more capable of using AI across the business. The business case is compelling, and leaders are committed to investing whatever’s necessary to get the organization where it needs to go. More importantly, the strategy is solid.
In the months since the announcement, employees attended town halls, managers received talking points, and all relevant training was successfully launched. And let me tell you, those course “completion rates” are beautiful! Cross-functional teams were formed with the aim of identifying opportunities for improvement. Yet six months in, and remarkably little has changed about how work actually gets done.
The people assigned to the cross-functional teams still have all their previous responsibilities, so improvement work only happens when it can be squeezed in. Managers are encouraged to support experimentation, but their performance is still measured against aggressive KPIs. Despite all the training they completed and new knowledge and skills they acquired for using AI, employees still use outdated workflows the same old way.
Meanwhile, a customer-facing team that identified a flawed process last year gave up trying to fix it because doing so requires approvals and collaboration from three separate departments. Unfortunately, the leaders and managers in those departments fail to grasp the impact or the urgency because their performance metrics encourage them to prioritize different things, with little attention paid to how the organization is affected as a whole.
Eventually, weak excuses and explanations—and even blame—circulate. Executives suspect employees are simply resisting the change. Middle leaders wonder whether managers are adequately reinforcing the strategy. The HR Director thinks additional training is needed. And others doubt whether the company’s culture is innovative enough.
Maybe some explanations are valid. However, there’s another more likely possibility worth investigating: What if people are responding quite rationally to an organization whose existing systems continue to reinforce the very behaviors its new strategy requires them to change? If so, that reality presents a completely new and far more complex perspective.
Is Your Organization Defeating Its Own Strategy?
For every strategy designed by someone brilliant, usually there’s an apparent logic. This includes a combination of processes, reporting relationships, performance metrics, technologies, decision-making procedures, incentives, workloads, workflows, budgets, leadership behaviors, meeting structures, informal power networks (office politics), and protocols for how work gets done.
Combined and working in synch, all of these conditions teach people what matters, what gets rewarded and punished, what requires authorization, what can safely be ignored, and how much permission and freedom they actually have to behave differently. These interconnected mechanisms and conditions shape and are central to what I refer to as Organizational Capability—an organization’s collective ability to perform, learn, coordinate, adapt, respond, and sustain what its mission, strategy, environment, and future require.
Research about strategy implementation reinforces the importance of examining those conditions. Rowe and Nevmerzhytskyi (2025) argue that strategy implementation requires alignment among organizational structure, controls, rewards, culture, resources, capabilities, and leadership. Their analysis is particularly useful because it moves implementation beyond simply communicating strategic intent and toward examining whether there's "internal alignment…among these elements [and if] the strategy chosen provides guidance for employees and managers in their day-to-day decision making" such that the organization itself supports the behaviors required to execute it (Rowe & Nevmerzhytskyi, 2025). This sounds obvious until we examine what happens inside organizations on a typical day:
Company A declares collaboration is essential while simultaneously rewarding dysfunctional performance.
Company B encourages experimentation in the name of innovation while treating unsuccessful experiments as failures—therefore discouraging others from presenting new ideas because the chance of being the target of humiliation is too risky and feels unsafe.
Company C tells managers they need to coach and develop people while filling their calendars with the typical meetings-that-should-have-been-an-email and measuring them almost exclusively against short-term outcomes.
One of the most persistent mistakes organizations make is failing to face the problems that stem primarily from the people inside who expect changes to be made in the first place. This requires brutal honesty. While slow adoption may be attributable to resistance, the reality is that much of what ushers it in is failed or weak systems.
Managers slipping back into old habits may look like a lack of commitment, but is it really? Newly acquired skills not being used after completing training may appear to be an instructional design problem, but how can you be sure if you haven’t factored in a single evaluation effort being designed to ensure reinforcement or you can’t identify who’s responsible for paying attention to see what’s happening back on the job?
Perhaps the department that protects its own interests indeed has a collaboration problem, or maybe the work environment perpetuates these behaviors because there’s no evidence of trust and safety throughout the organization. Sometimes those diagnoses are correct. However, often (in my experience, anyway) these behaviors are evidence of something deeper.
AI/Technology Will Make These Contradictions Harder to Ignore
Anyone who thinks technology is the solution on its face is quite wrong. Why? Because once it enters the picture, the contradictions and flaws become even more glaring. I’ve always said technology (especially AI) is a mirror—or an accelerant. It simply reveals what’s broken or dysfunctional a LOT faster. Technology’s outputs are only as good as its inputs. I learned that all the way back in 9th grade when learning to program on Apple’s first computers. Yes, I am that old! Here’s the thing. Just because AI has a friendly, agreeable, sugar-coated manner of letting you know your “ish” is messed up doesn’t make the problem any less of a threat to what you’re supposedly trying to accomplish.
Technology adoption provides an unusually clear window into this issue as organizations introduce tools capable of changing not only how work happens (and how quickly), but what work humans need to do at all.
According to the World Economic Forum’s Future of Jobs Report 2025, while "skill gaps in the labor market are the primary barrier to business transformation, …cited by 63% of surveyed employers, …and the second most significant perceived barrier is organizational culture and resistance to change, identified by 46% of respondents as a key obstacle, which highlights the anticipated challenge of aligning internal processes, organizational structures, hierarchies and mindsets in responding to the trends and disruptions companies expect to face" (World Economic Forum, 2025).
These findings call attention to the critical need for organizations to strive to do a much better job at ensuring internal alignment, and they also underscore the importance of overall Organizational Capability, as it’s no longer sufficient to adopt new technology for the sake of it. This is a particularly sobering fact as workforce changes demand that companies worldwide evolve in an increasingly rapid manner, on an ongoing basis.
Sometimes “Resistance” Is Information About the System
None of this means individuals bear no responsibility for change. People can resist reasonable changes. Leaders can avoid accountability. Managers can fail to lead. Employees can possess the resources, skills, authority, and support required to change and still choose not to. A systemic diagnosis doesn’t remove individual accountability, but it can help identify points of responsibility and allocate accountability more accurately.
Again, I want to reiterate that before concluding that people are unwilling to change, leaders should examine whether the organization has made the desired behavior practical, supported, reinforced, and worthwhile. If the strategy requires collaboration while incentives reward competition, learning while workloads leave no time to learn, coaching while managers are overwhelmed with operational work, faster decisions while authority remains several levels above the people closest to the issue, or innovation while mistakes carry disproportionate consequences, then the behavior being labeled “resistance” may contain useful information about the system.
The hardest thing this question may force leaders to do is turn the diagnostic mirror away from the workforce and toward the organization. This forces leaders to examine what’s been designed, inherited, or reinforced that allows the “resistance” to persist. Often, several of those conditions interact and compound. If leaders fail to have honest conversations and diagnose root causes within the organization, they may respond with more communication, training, reinforcement, and ultimately greater pressure, thereby inadvertently exacerbating the problem and contributing to an already overloaded system.
So before asking whether your people are ready to execute your strategy, there is another question worth asking: “If a strategy requires different behavior, what would have to become different about the organization itself for that behavior to become logical, possible, supported, and sustainable?”
References
Rowe, W. G., & Nevmerzhytskyi, S. (2025). Demonstrating the importance of the strategy implementation process to an entire organization. Organizational Dynamics, 54(4), 101153. https://doi.org/10.1016/j.orgdyn.2025.101153
World Economic Forum. (2025). The future of jobs report 2025. https://www.weforum.org/publications/the-future-of-jobs-report-2025/
When strategy requires an organization to work differently, understanding what is preventing that change is often the first step. White Wolf Consulting partners with organizations to look beyond the visible symptoms and identify the systems, processes, performance conditions, leadership practices, and other organizational factors that may be getting in the way. By bringing together expertise in Performance Consulting, Change Management, Learning & Development, and Human-Centered Technology Adoption, we help organizations address root causes and build the Organizational Capability needed to turn strategy into action.
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