Every Change Sends an Invoice.
Most organisations never calculate its true cost.
 
Introduction

Every significant organisational change begins with a business case. Whether it is a restructuring, a new operating model or a digital transformation, leaders spend considerable time calculating the financial investment required. Technology costs are estimated, consultancy fees are negotiated, training budgets are agreed, risks are documented and more importantly benefits are forecasted. At that point, the stars are aligned and someone decides whether the return justifies the investment.

It is a disciplined process, and rightly so. Yet as I reflected on the wave of AI-enabled transformation that many organisations are now embarking on, I found myself wondering whether there is a fundamental assumption sitting quietly beneath every business case, one that is rarely discussed, let alone measured.
Many business cases implicitly assume the organisation has enough capacity to absorb the proposed change, even when that capacity is never explicitly tested. We calculate the cost of implementing the change, but we rarely calculate the organisational resources required to make it successful.

The challenge organisations face over the next decade is unlikely to be a single transformation programme but continuous disruption. In some sectors, AI is accelerating the pace at which organisations redesign work, redefine roles and rethink how value is created. For many organisations, change is no longer an occasional event punctuating periods of stability. It is becoming a continuous condition of organisational life.

If that is true, then perhaps the leadership challenge is changing too.
Perhaps the question is no longer simply, "Can we implement this change?"
Perhaps it is, "Do we currently have the organisational capacity to absorb it?"
I am not convinced we ask that question at all and that distinction may become increasingly important.

The science

Much of the traditional change management literature was developed when organisational change was largely viewed as episodic. Organisations moved through periods of relative stability before experiencing major transformation and eventually settling into a new equilibrium. That assumption is becoming increasingly difficult to sustain.

Heckmann, Steger and Dowling argue that organisations now operate in environments characterised by faster, more continuous and more complex change than many earlier models anticipated. Rather than focusing solely on managing individual change programmes, they suggest organisations differ in their capacity for change - their ability to initiate, implement and sustain change on an ongoing basis. Importantly, their research found that organisations with stronger capacity for change were more successful in delivering change initiatives.
This is a subtle but significant shift in thinking. It suggests that successful transformation is not determined solely by the quality of the project itself. It also depends on the organisation's ability to keep adapting without exhausting the very capabilities that make adaptation possible.

Implementation science reinforces this perspective. Normalisation process theory argues that implementation should not be confused with success. Introducing a new technology, policy or process is only the beginning. Sustainable change depends on the collective work people undertake to embed that new practice into everyday routines until it becomes the normal way of working. In other words, the launch of a change initiative is not the finish line; it is the point at which much of the real work begins.

William Ocasio's attention-based view of the firm adds another important dimension. Organisations influence behaviour by directing where attention is focused. Every new initiative competes for finite managerial and employee attention, meaning that prioritising one strategic objective inevitably diverts attention away from something else. Attention, like financial capital, is a limited organisational resource.

Teece, Pisano and Shuen’s work on dynamic capabilities adds another layer: it suggests that successful organisations do not just implement change, they build the ability to reconfigure themselves repeatedly without exhausting the system that has to carry the change.

Taken together, these perspectives suggest something that I do not believe receives sufficient attention in organisational practice.

Every change consumes resources that rarely show up in the business case.

• It consumes attention.
• It consumes learning effort.
• It consumes managerial time.
• It consumes established routines.
• It consumes confidence while people learn unfamiliar ways of working.

Yet these organisational resources rarely appear anywhere in the financial appraisal of a transformation programme.

Key findings

Reading across these different strands of research left me with three observations.

First, the success of organisational change depends not only on implementing a new initiative, but on an organisation's ability to absorb and sustain successive waves of change over time.

Second, implementation and embedding are not the same thing. Organisations frequently measure whether a project has been delivered, but far less often whether the new way of working has genuinely become part of everyday organisational life.

Third, every change competes for finite organisational attention. Introducing a new strategic priority inevitably changes what receives less attention elsewhere, whether that trade-off is recognised or not.

None of these ideas is new in isolation but what struck me was how rarely they are considered together when leaders decide whether another transformation should begin.

What this means in practice

We have become very good at estimating the financial cost of change. We are much less good at estimating what it will take from the organisation itself. We routinely model return on investment, implementation costs, delivery risks and expected benefits. Those are all necessary disciplines.

What we rarely estimate is the organisational capacity required to make the change successful.
Perhaps every business case rest on an assumption that is never formally tested:

• We have enough attention.
• We have enough managerial capacity.
• We have enough learning capacity.
• We have enough organisational headroom to absorb another significant change.

These assumptions may be perfectly reasonable or they may not. The difficulty is that we rarely know because we almost never attempt to assess them. I am not arguing that organisations should avoid change. Quite the opposite. In an AI-enabled world, the ability to adapt will almost certainly become a source of competitive advantage.

What I am questioning is something more fundamental. If financial capital is managed carefully because it is finite, why do we treat organisational capacity as if it were unlimited? Perhaps, before approving any major transformation we should routinely ask four questions rather than three.

Is it strategically necessary?
Is it financially viable?
Is it operationally achievable?
And do we currently have the organisational capacity to absorb it?

The first three questions appear in almost every business case but the fourth rarely does. That may become one of the most important leadership questions of the next decade.

A quote to reflect on
"The true cost of change is rarely what it takes to launch it. It is what the organisation continues to spend until the change becomes ordinary." My own reflections

A question to reflect on
When your organisation approves a major transformation, how much confidence do you have that it is estimating not only the financial investment required, but also the organisational capacity it will consume?

Further reading

• Heckmann, N., Steger, T., & Dowling, M. (2016). Organizational capacity for change, change experience, and change project performance. Journal of Applied Behavioral Science, 52(2), 141–170.
• May, C., & Finch, T. (2009). Implementing, embedding, and integrating practices: An outline of Normalization Process Theory. Implementation Science, 4, 29.
• Ocasio, W. (1997). Towards an attention-based view of the firm. Academy of Management Review, 22(1), 187–206.
• Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509–533.

 
 
 

Part 4: Deciding when clarity is not available

You are leading through a difficult period. Performance is uneven. Morale is fragile. Expectations have not changed. You need to make a call that will affect delivery, people, and priorities. There is no clean option. If you optimise for delivery, you risk burnout. If you optimise for people, you risk missing targets. You do not have full clarity, but you cannot wait.
What does a good decision even look like here?

The science

Research into decision-making under uncertainty points in the same direction: the goal is not certainty. It is making the best call you can with what you know, then being willing to adjust when the picture changes. People do not rise to the level of their knowledge so much as they fall to the level of their capacity under pressure. In practice, decision quality depends not just on information, but on what the person or group can actually hold in the moment.
 
Gary Klein’s work is relevant again here. In high-stakes settings, experienced decision-makers often do less comparing and more recognising. They notice what kind of situation they are in and draw on pattern, not just analysis. That can be highly effective, but only when the environment is familiar enough for recognition to be useful.

At the same time, psychological safety matters. If people do not feel able to challenge, question, or change direction, then mistakes are more likely to stay hidden. Decision quality is not just individual. It is collective. Under pressure, people do not always choose the best option for the organisation. They often choose the option that feels safest for themselves.

Clarity often comes after action, not before it.

Key findings

Across the research and in practice, a few things stand out.

1. You cannot remove uncertainty from important decisions. The goal is to move through it without pretending it is not there.
2. Capacity matters more than frameworks under pressure. In the moment, people rarely reach for models. They rely on what they can hold.
3. Decision quality is collective, not just individual. Better outcomes depend on how challenge, information, and perspective move through the system.
4. Clarity often comes after action. Waiting for perfect information can slow learning and make the situation harder to read.

 
What this means in practice

If decisions are made under pressure, in systems, and with incomplete information, then improving them requires two shifts. First, build the capacity to hold the moment, not as theory, but in how you operate when it matters.
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• Emotional capacity- can you stay calm enough to think, rather than react?
• Cognitive capacity- can you hold more than one perspective without rushing to a single story?
• Relational capacity- can you create space for challenge, especially when it is uncomfortable?
• Technical capacity- do you understand the system, constraints, and trade-offs shaping the decision?
• Moral capacity- are you clear on what matters when there is no perfect option?

These are not abstract traits. They shape how people show up when the pressure is on.

Second, design better decision environments. Even capable people struggle in systems that make good judgement hard. That means being clear about who decides and who contributes, allowing dissent without punishment, and making the relevant trade-offs visible. Capacity matters, but it is only part of the story. Even capable people make poor decisions when systems reward speed over judgement, discourage challenge, and obscure trade-offs, they do not just influence decisions. They limit them.

So the question is not only, “How do we make better decisions?” It is also, “What conditions make better decisions possible?”

A quote to reflect on
In uncertainty, the real skill is not prediction. It is adaptation. – My own reflections

A question to reflect on
Think about the next decision you need to make. Not just what you will decide, but whether you have the capacity and the conditions to decide well.

Further readings

• Klein, G. (1998). Sources of power: How people make decisions. Cambridge, MA: MIT Press.
• Kahneman, D. (2011). Thinking, fast and slow. New York, NY: Farrar, Straus and Giroux.
• Edmondson, A. C. (2019). The fearless organization: Creating psychological safety in the workplace for learning, innovation, and growth. Hoboken, NJ: Wiley.

Closing thought for the series
We often treat decisions as moments: a point in time where a choice is made. But decisions are rarely just moments. They are shaped by systems, pressure, capacity, and context.

That does not remove individual responsibility. It makes it more realistic. The better question is not only what decision was made, but what made that decision likely in the first place and what it says about the system around it.

Part 3: Decisions are not clean — they are messy, political, and human

You are in a leadership meeting. A proposal is on the table. On paper, it is strong, but the room tells a different story. One senior stakeholder is quiet. Another is supportive, but carefully so. No one challenges it directly, yet the room does not feel settled.

The group starts moving towards consensus. Do you go with it? Or do you interrupt the moment?
This is where decision-making gets less tidy. Real choices are rarely made in a vacuum. Decisions happen in social settings, where people are not only choosing between options but managing relationships, reputation, status, risk and politics. Politics is simply what happens when decisions have consequences and not everyone is affected in the same way.

The science

Karl Weick’s work on sensemaking is useful here because it reminds us that people do not always understand first and act later. Often, they act, interpret, and then make sense of what they have done. In that sense, decisions are not always the end point of thinking. Sometimes they are how people figure things out.
That is important, because it means decision-making in organisations is rarely just about choosing the best option. It is about choosing something that can survive the social reality of the room. It is often iterative, negotiated, and incomplete.

Amy Edmondson’s research on psychological safety adds another layer. When people believe they can speak up without embarrassment or punishment, they are more likely to raise concerns, ask questions, and contribute information that improves the quality of the decision. When they do not feel safe, silence becomes more likely.

Silence is not neutral. It changes what the group can know.

This is why agreement in the room does not always mean alignment in practice. People may nod along publicly while remaining unconvinced privately. They may stay quiet because they fear conflict, do not trust the process, or assume their contribution will not matter.

Philip Tetlock’s work on forecasting and judgement is also relevant here. Better judgement is not built on certainty, but on the ability to hold multiple possibilities, update beliefs, and resist premature closure. That is an uncomfortable discipline, but it is a more realistic one.

Key findings

A few patterns show up consistently in real decision environments.

1. Power shapes the decision.
   Whose voice carries weight often matters as much as what is said.
2. Apparent irrationality often has a logic.
   Protecting relationships, reputation, or stability can drive choices that do not look optimal on paper.
3. Timing is part of the decision.
   Delaying, accelerating, or sequencing a decision can be as important as the choice itself.
4. Agreement does not equal alignment.
   People may say yes in the room and still resist in practice if underlying concerns have not been surfaced.

What this means in practice

If decisions are political as well as practical, the goal is not to pretend they are clean. The goal is to navigate them more consciously.

That starts with recognising what is really happening in the moment. A decision that looks like hesitation might be someone managing stakeholder reactions, creating space for alignment, or avoiding premature closure. A decision that looks like agreement might be compliance without commitment, silence driven by risk, or unresolved tension beneath the surface.

This is where decision-making becomes less about choosing an option and more about reading the environment: what is safe to say, what is risky to challenge, and what the room is really rewarding.

Ask:

• What is being said?
• What is not being said?
• Who is influencing the direction?
• What is at stake for each person in the room?
• What would happen if this decision were made differently?

Not just in terms of outcomes, but in terms of trust, relationships, and future behaviour. Because in organisations, the right decision on paper is not always the decision that can survive the room.

A quote to reflect on
The most important problems in organisations are not technical, they are adaptive. — Ronald Heifetz

A question to reflect on
Think about a decision that did not go the way you expected. What context made it feel right to the people involved?
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Further readings

• Weick, K. E. (1995). Sensemaking in organizations. Thousand Oaks, CA: Sage.
• Edmondson, A. C. (2019). The fearless organization: Creating psychological safety in the workplace for learning, innovation, and growth. Hoboken, NJ: Wiley.
• Tetlock, P. E., & Gardner, D. (2015). Superforecasting: The art and science of prediction. New York, NY: Crown.