Your strategy changed. Did anyone else?

Organisations are becoming remarkably efficient at designing transformation and considerably less predictable at making it happen.

The accelerating adoption of artificial intelligence has brought this contradiction into particularly sharp focus. Across industries, organisations are investing in AI strategies, introducing new technologies, redesigning processes and reconsidering the future of work. The ambition is considerable: greater productivity, better decisions, faster innovation and, in some cases, fundamentally different business models.

Yet a familiar question remains largely unchanged. What happens to the people who are expected to make all of this work?

A strategy can change overnight. An organisational structure can be redesigned in a few weeks. A new technology can be deployed across thousands of employees with astonishing speed. But none of these developments necessarily tells us whether people understand the change, believe in it, feel capable of contributing to it or have begun behaving differently as a result.

We have become increasingly sophisticated at managing the formal architecture of transformation. We develop roadmaps, establish governance structures, define milestones and monitor implementation. These are necessary disciplines, but they offer only a partial picture of progress.

The more difficult question is what is happening beneath the surface.

How are people interpreting the transformation? What do they believe they stand to gain or lose? Which assumptions are being challenged? Where are new behaviours emerging, and where are established routines proving remarkably resilient?

And perhaps most importantly, how would we know?

The uncomfortable gap between strategic intent and organisational reality

One of the persistent assumptions in change management is that resistance arises because people do not sufficiently understand the rationale for change. The response is predictable: communicate more, explain the business case again, reinforce the message through managers and increase the visibility of senior leadership.

Sometimes that is precisely what is required. People cannot engage meaningfully with a direction they do not understand.

But the assumption becomes problematic when it treats resistance primarily as an information deficit.

People may understand a strategy perfectly well and still disagree with it. They may recognise its commercial logic while questioning its consequences for their own work. They may support the ambition but doubt the organisation's ability to deliver it. Or they may simply be uncertain about what the transformation means for their professional identity, competence or future relevance.

AI transformation makes these tensions particularly visible.

For one employee, artificial intelligence represents an opportunity to eliminate repetitive work and focus on more meaningful tasks. For another, the same technology may challenge years of accumulated expertise or raise questions about the value of their contribution. A leader may welcome the promise of better decision-making while feeling uncomfortable about losing control over processes they have traditionally managed.

These are not necessarily irrational reactions. They are different interpretations of the same strategic direction, shaped by different experiences, interests and expectations.

Research into organisational change has long recognised the importance of such interpretations. Armenakis, Harris and Mossholder (1993), for example, argued that readiness for change involves beliefs, attitudes and intentions concerning both the need for change and the organisation's capacity to implement it.

This suggests that transformation cannot be understood solely through the intentions of those designing it. We must also understand how it is being experienced by those expected to enact it.

The strategy may be perfectly clear in the boardroom and profoundly ambiguous everywhere else.

Resistance is a gift. If we are willing to listen.

Resistance has acquired a rather unfortunate reputation in organisational life. It is something to be managed, reduced or overcome. Change programmes are designed to minimise it, communication strategies attempt to address it, and leaders frequently interpret it as evidence that people have not yet understood the necessity of the transformation.

But what if resistance is not the problem? What if it is one of the most valuable sources of information available to us?

When people resist, they are communicating something. They are telling us that the intended direction of the organisation and their own understanding, experience or willingness to act are not yet aligned. That discrepancy deserves attention, not immediate correction.

Indeed, the absence of visible resistance can be considerably more troubling than its presence. Silence may indicate agreement, but it may equally reflect resignation, fear, disengagement or a belief that speaking up will make no difference. An organisation in which nobody challenges a transformation is not necessarily an organisation that has embraced it.

The difficulty is that we tend to treat resistance as a single phenomenon when, in reality, it can emerge from fundamentally different sources. And those differences matter because they require different leadership responses.

Rick Maurer's three levels of resistance offer a particularly useful way of making these distinctions.

The first level is "I don't get it", which we extend in our work to include "I can't do it." This is primarily a cognitive or practical barrier. People may not understand the purpose of the change, its implications or what is expected of them. Equally, they may understand the strategy perfectly well but lack the capabilities, resources, tools or functioning technology required to implement it.

Consider an organisation introducing AI into everyday work. Employees may understand why the technology matters and even welcome its potential, yet find themselves working with inadequate software, poorly integrated systems or insufficient training. What appears to be resistance may simply be a rational response to an implementation that does not work.

Here, better explanations, practical support, access to appropriate tools and capability development can make a genuine difference. The intervention should address the actual barrier rather than attempt to change people's attitudes.

The second level is "I don't like it." This is a different proposition altogether.

Here, resistance is emotional. People may understand the change and possess the ability to implement it, but remain uncomfortable with what it represents. They may fear losing competence, status, autonomy, familiar relationships or a professional identity built over many years.

This is where organisations frequently make a consequential mistake. They respond to an emotional concern with a cognitive intervention.

Another presentation explaining the strategic rationale. Another email outlining the benefits. Another communication campaign designed to demonstrate why the transformation is necessary.

But if someone understands the change and simply does not like it, additional information may achieve very little. It may even reinforce the impression that leadership is unwilling to acknowledge what people are experiencing.

Emotional resistance requires a different response. People need opportunities to express concerns, explore implications, influence decisions where possible and develop a sense of participation in what is happening. This does not mean that everyone must like the change, nor that every concern can be resolved. It means recognising that understanding the business case and accepting its personal consequences are two very different things.

The third level is "I don't like you."

This is perhaps the most uncomfortable form of resistance because it shifts attention away from the transformation itself and towards the relationships through which it is being introduced.

And the you need not be an individual leader. It may be a department, a management team, a corporate function or the organisation itself.

People may understand the change, recognise its potential benefits and even feel personally capable of implementing it. Yet they remain unwilling to engage because they do not trust those asking them to change.

Perhaps previous promises were broken. Perhaps earlier transformations were handled poorly. Perhaps employees have experienced a persistent gap between what leaders say and what they do. Or perhaps the relationship between two parts of the organisation has deteriorated to the point where even reasonable proposals are interpreted with suspicion.

At this level, resistance is not fundamentally about the content of the strategy. It is about the credibility of its messenger and the history of the relationship.

And trust cannot be restored through a more convincing PowerPoint presentation.

It requires consistency, transparency, accountability and, often, an acknowledgement of what has gone wrong. Leaders may need to repair relationships before expecting people to commit to a new direction.

This creates an important hierarchy in how resistance should be addressed.

If trust is broken, begin there. If emotional concerns remain, engage with them. Only then can information, training and practical support have their intended effect.

In other words, we may need to work backwards through the levels: from three to two to one.

This is not to suggest that every instance of resistance progresses neatly through three stages or that all three are always present. People can experience several forms of resistance simultaneously, and the dominant barrier may change as the transformation unfolds. But the framework forces leaders to ask a more intelligent question.

Not simply, How do we overcome resistance?

But, What is this resistance telling us, and what does it require from us?

That distinction fundamentally changes the role of organisational listening.

If we regard resistance as an obstacle, we listen primarily to discover how to remove it. If we regard resistance as information, we listen to discover what we may have misunderstood, overlooked or failed to address.

And sometimes the conclusion will be uncomfortable. The problem may not lie with employees' willingness to change. It may lie with the quality of the implementation, the assumptions behind the strategy or the behaviour of those leading it.

Resistance is not necessarily the opposite of engagement. Sometimes it is the clearest evidence that people are still engaged enough to care.

Listen before you intervene

If resistance provides information, the first responsibility of those leading transformation is to create opportunities for that information to emerge.

This sounds straightforward, but organisational listening is often constrained by the methods we use to conduct it.

Traditional diagnostics frequently rely on quantitative instruments. Surveys can reveal patterns, establish benchmarks and identify differences between groups. They are useful, particularly when we want to understand the prevalence of particular attitudes or track changes over time.

But quantitative data also has limitations. It can tell us that confidence in a transformation is low without necessarily explaining what people mean by confidence, which experiences have shaped their views or what would need to happen for their perceptions to change.

The questions we choose to ask also define the boundaries of what we are likely to discover.

A qualitative conversation allows something different to emerge.

When people are invited to describe their experiences in their own words, they can introduce concerns, contradictions and possibilities that the organisation may not have anticipated. A seemingly straightforward objection to a new process may reveal a deeper issue of trust. What appears to be reluctance to adopt AI may reflect uncertainty about accountability, professional competence or the quality of the technology itself.

At MenschWorks, we are exploring how conversational AI avatars can make this kind of organisational listening possible at greater scale.

Rather than asking employees to complete another predefined questionnaire, an avatar can invite them into a structured but adaptive conversation. It can explore how the transformation is perceived, what people understand about its purpose, where they see opportunities and what concerns remain unresolved. It can ask follow-up questions and seek clarification when an answer suggests something worth exploring further.

The intention is not simply to collect more responses. It is to develop a richer understanding of the organisation's starting point.

With appropriate privacy protections, transparency and analytical safeguards, patterns emerging from these conversations can help reveal differences between strategic intent and lived experience. They may expose misconceptions, identify sources of resistance, highlight promising practices and uncover opportunities that have not yet received sufficient attention.

This is an important distinction. We are not asking whether employees agree with the strategy so that we can persuade those who do not.

We are asking what the organisation needs to understand before it can expect people to move.

Listening, however, is only the beginning.

Understanding change is not the same as experiencing it

Once an organisation has developed a clearer picture of its starting point, the next challenge is to turn that understanding into meaningful engagement.

This is where we bring leaders and employees together, virtually or face to face, to explore how change actually unfolds.

Rather than beginning with another presentation about the transformation, we work with people's experiences of it.

Where do they believe the organisation is in its change journey? What are they experiencing personally? How are different stakeholder groups responding? What forms of resistance are becoming visible, and what might sit behind them?

These conversations become particularly valuable when participants recognise that change is not a uniform experience.

One group may already be experimenting enthusiastically with new ways of working while another is still questioning the reasons for the transformation. Some individuals may have moved towards acceptance, while others remain uncertain or frustrated. Even within the same person, enthusiasm for one aspect of change can coexist with resistance to another.

Change is rarely a neat, linear progression from awareness to acceptance. People move forward, hesitate, reconsider and occasionally retreat as new experiences challenge their expectations.

Making these dynamics visible helps people understand both their own responses and those of others.

We use change journey models, resistance frameworks, simulations and real organisational cases to create a shared language for these experiences. Participants can explore different stakeholder perspectives, examine how their own behaviour influences others and experiment with approaches to difficult situations.

Simulation is especially valuable because it allows people to experience the consequences of their assumptions in a relatively safe environment. A leader who believes that resistance should be overcome through stronger communication may discover that additional persuasion produces greater defensiveness. Someone who interprets disagreement as obstruction may begin to recognise it as an expression of uncertainty, perceived loss or legitimate concern.

This is not simply about acquiring another change management tool. It is about developing a different understanding of human behaviour.

And it changes the nature of engagement.

People are no longer passive recipients of a transformation designed elsewhere. They become participants in interpreting the challenge, identifying obstacles and developing practical responses.

That participation matters. Research by Oreg, Vakola and Armenakis (2011), reviewing recipients' reactions to organisational change, highlights the influence of change processes, perceived benefits and harms, and individual and contextual factors on how people respond.

Resistance, therefore, is not something that can simply be removed through better communication. It needs to be understood in context.

Nor should engagement be confused with universal agreement. A productive workshop may reveal genuine disagreements that cannot immediately be resolved. The objective is not to manufacture enthusiasm, but to develop the understanding, capability and commitment required to move forward intelligently.

The real test begins after the workshop

Organisations often invest considerable energy in the launch of transformation initiatives. There are inspiring presentations, engaging workshops, enthusiastic discussions and carefully formulated commitments.

Then everyone returns to work.

And work has a remarkable ability to reassert itself.

Established processes, competing priorities, managerial expectations and familiar habits can quickly absorb the energy generated by even the most successful intervention.

This is where the distinction between understanding change and actually changing behaviour becomes critical.

A workshop can help people reconsider their assumptions. It cannot, by itself, ensure that they will behave differently when confronted with the pressures of everyday organisational life.

For this reason, we see transformation as an ongoing process of experimentation, application and feedback rather than a sequence of isolated events.

Following the initial engagement, leaders and employees work with real challenges in their own environment. They identify stakeholders, test interventions, initiate conversations and observe how people respond. Those driving the change take responsibility for action, while others contribute by sharing their experiences and offering feedback on what is actually happening.

Conversational AI can play a different role at this stage.

Avatars can provide opportunities for reflection, help individuals think through difficult situations and invite regular feedback about how the transformation is progressing. They can also support ongoing organisational listening, making it possible to identify emerging patterns rather than relying exclusively on periodic surveys or formal reviews.

The questions now become more specific.

What has changed since the initial conversations? Are people behaving differently? Has confidence increased? Are the same concerns recurring? Have new obstacles emerged? Are leaders doing what they committed to doing?

This creates a continuous connection between strategic ambition, individual action and organisational experience.

It also challenges another common assumption: that the successful completion of planned transformation activities is evidence that transformation itself is succeeding.

A programme may have delivered every workshop, trained every manager and implemented every system while producing remarkably little change in everyday behaviour.

Activity is not impact. Implementation is not adoption. And adoption is not necessarily transformation.

The only meaningful way to understand progress is to keep examining what is actually changing.

From change management to organisational learning

Taken together, these ideas suggest a different way of approaching transformation.

At MenschWorks, we organise the work around three connected movements: Listen, Activate and Multiply.

Listen establishes an understanding of the organisation's current reality, including the gaps between strategic intentions and people's experiences. Qualitative conversations help us recognise the different forms of resistance and identify what may need to change in the organisation itself.

Activate brings people into the process, helping them understand the dynamics of change, recognise resistance in themselves and others, explore different perspectives and develop the capability to act. Workshops and simulations create the opportunity to experience change rather than simply discuss it.

Multiply takes the work into everyday organisational life, where actions are tested, feedback is gathered and learning informs the next steps. Ongoing conversations, supported where appropriate by AI, help the organisation understand whether new behaviours are emerging and where further intervention is required.

The three movements are connected rather than sequential boxes to be completed. What we learn during implementation may challenge the assumptions established at the beginning. New concerns may emerge, stakeholder responses may change, and interventions may need to be reconsidered.

In that sense, transformation becomes less about executing a fixed plan and more about creating an organisation capable of learning while it changes.

AI can contribute across all three movements, but its role should remain carefully defined. It can help organisations listen more broadly, support individual reflection and identify patterns across large volumes of qualitative information. It can make certain forms of dialogue and feedback more accessible and continuous.

What it cannot do is replace the judgement, courage and responsibility required of leaders.

Indeed, the more capable our technology becomes, the more important these human qualities may prove to be.

A leader must still decide whether to take uncomfortable feedback seriously. An organisation must still confront contradictions between its stated values and everyday practices. Teams must still negotiate competing interests and change established habits.

No avatar can make those decisions on their behalf.

Your strategy changed. Did anyone else?

Perhaps the most revealing question we can ask about a transformation is not whether the organisation has implemented its strategy, but whether the strategy has begun to influence how people think, decide and behave.

This is a much more demanding measure of progress.

It requires organisations to look beyond formal milestones and examine the less visible realities of trust, interpretation, capability, relationships and habits. It requires leaders to recognise that resistance may contain useful information rather than simply represent an obstacle to overcome.

And it requires a willingness to listen repeatedly, not merely at the beginning of a transformation but throughout its development.

AI transformation makes this challenge especially urgent because the technology itself is evolving faster than many organisations can adapt their established ways of working. The temptation is to respond with increasingly ambitious implementation programmes, tighter timelines and more sophisticated systems.

But technological capability and organisational capability are not the same thing.

A new AI strategy may fundamentally change what an organisation is able to do. Whether it changes what people actually do depends on something far less predictable: the human experience of change.

We may be entering an era in which artificial intelligence allows us to understand that experience in greater depth and at greater scale than before.

That is a significant opportunity, provided we remember that listening is not the same as agreeing, engagement is not the same as enthusiasm, and measurement is not the same as learning.

Ultimately, transformation does not happen because a strategy has changed.

It happens when people begin to behave differently.

And if we are not curious enough to understand what people are experiencing along the way, we may never discover why they haven't.

At MenschWorks, we combine organisational listening, experiential change leadership and ongoing AI-supported feedback to help organisations understand and accelerate transformation.

Explore our approach at MenschWorks.com.

Dr Marcus Gottschalk Founder, MenschWorks

References

Armenakis, A. A., Harris, S. G., & Mossholder, K. W. (1993). Creating readiness for organizational change. Human Relations, 46(6), 681–703. https://doi.org/10.1177/001872679304600601

Maurer, R. (2010). Beyond the Wall of Resistance: Why 70% of All Changes Still Fail—and What You Can Do About It. Bard Press.

Oreg, S., Vakola, M., & Armenakis, A. (2011). Change recipients' reactions to organizational change: A 60-year review of quantitative studies. The Journal of Applied Behavioral Science, 47(4), 461–524. https://doi.org/10.1177/0021886310396550