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    Change management in organisations: why technology is not enough

    10 min readMZMichał Zwyrtek

    Digital transformation, AI and new systems do not deliver results without change management. How to prepare the organisation, leaders and teams for real implementation.

    Companies are investing more and more in ERP systems, automation, AI and digital tools. The problem is that technology alone rarely changes an organisation. Change has to be designed, communicated, carried out and reinforced – otherwise even the best system will remain an expensive add-on to old habits.

    From our advisory practice we see this very clearly: the biggest risk in transformation today is not technology, but the organisation's lack of preparation. An unclear goal, no owner of the change, too many initiatives at once, employee resistance, insufficient leadership competencies and a failure to embed new behaviours in day-to-day work – these are what stall projects that looked excellent on paper.

    Change is no longer a once-every-few-years project

    A decade ago, change was treated as a project with a clearly defined beginning and end: implementing a system, restructuring, a new procedure, a merger. Today organisations operate in a state of continuous change. Technological pressure, digital transformation, artificial intelligence, new regulations, changes in the labour market, global economic tensions and constant cost and efficiency pressure all overlap.

    In practice this means the board no longer has the comfort of "implementing one initiative and returning to normal". The new normal is running several, often a dozen or more, initiatives in parallel, changing processes, tools and the way people work. Change management has stopped being an add-on to an IT project – it has become a strategic board-level competency.

    Why do companies lose at transformation?

    The recurring scenario of a failed transformation usually looks similar. Technology was bought, but the process was not changed. A system was implemented, but users were not prepared. Communication was limited to a single email from the board. Training only took place at the end of the project, when people were already tired and discouraged. No one calculated the impact of the change on teams' daily work. Too many initiatives were launched at once, and middle managers did not understand their role in the whole process. The project was run by an IT vendor, without a clear business owner on the company's side.

    If an organisation does not know exactly what needs to change in people's behaviour, it is not managing change – it is merely installing a new tool.

    The result is predictable: the new system works, but the old processes live on alongside it. People bypass the tool, export data to Excel, keep duplicate records, and after a year the board concludes that "the system didn't work". In reality, it was change management that did not work.

    Classic models still help, but are not enough on their own

    You do not need to build an academic theory of change to carry it out effectively. Classic models are best treated as a checklist that helps the board not to overlook the human side of transformation.

    Lewin: unfreeze, change, refreeze

    First, the sense of the old way of working has to be challenged – showing why the current model is no longer sufficient. Then people need to be led through a period of uncertainty, in which the old no longer works and the new has not yet become second nature. Finally, the new standards, processes and behaviours must be embedded in the rhythm of management, KPIs and daily work.

    Kotter: urgency, coalition, vision and quick wins

    Without a sense of urgency, people will not change their priorities. Without a coalition of leaders, change will remain on the board's slides. Quick wins are needed to show teams that the new direction makes sense and that the effort is not wasted.

    ADKAR: change happens within the individual

    An organisation only changes when the behaviour of specific people changes. An employee must understand why the change is needed, want to support it, know how to work in the new way, be able to do it, and be confident that the new behaviour will be reinforced by managers and the incentive system.

    Models are not an end in themselves. They are a tool for structuring the board's thinking about what must not be overlooked.

    Digital transformation does not begin with choosing a system

    One of the most common mistakes we observe is starting transformation with the question "which system should we buy?". That question comes several steps too early.

    Better questions for the board to start with:

    • What business problem are we solving?
    • Which process needs to run faster, cheaper or more safely?
    • What decisions should be made based on data?
    • Which activities should be automated, and which require a human?
    • Who will own the process after implementation?
    • How will the work of specific people in the organisation change?

    An ERP, CRM, workflow, BI, AI or automation system only makes sense when it is embedded in a process and a management model. Without that, it remains an expensive licence gathering dust on a shelf.

    AI further increases the importance of change management

    Deploying artificial intelligence is not an ordinary IT project. AI changes the way work is carried out, the division of responsibility between human and tool, expectations regarding competencies, the management model, quality control, communication, and legal, ethical and organisational risks.

    With AI, technology is often the easiest part. The hardest part is building trust, rules of use, competencies and new working habits.

    In practice we see that four different attitudes to AI operate simultaneously within a single organisation. Some employees fear being replaced and avoid the topic. Some ignore the tools and believe their role will not change. Some use AI on their own – often without their manager's knowledge and without safety rules. And some managers do not know how to measure the output of a team in which AI is already genuinely performing part of the work.

    That is why deploying AI requires not only choosing tools, but also a governance model, training, safety rules, a process map and a clear definition of where the decision still belongs to a human. Without this, AI becomes another source of chaos – this time fast-moving and hard to control.

    Change fatigue – the board's quiet adversary

    Change fatigue is a phenomenon that rarely makes it onto a board presentation, yet often determines the fate of projects. Employees feel that "we're implementing something again". Too many projects run at once, new priorities keep appearing, old initiatives are never formally closed, messages are sometimes contradictory, and results are hard to point to.

    The board should regularly review its portfolio of changes and answer simple questions:

    • Which initiatives are genuinely strategic?
    • Which are just "activity" with no measurable effect?
    • Which are overloading the same teams?
    • Which can be deliberately paused?
    • Which require an unambiguous board decision?
    • Which have a real impact on results, risk or efficiency?

    Deliberately closing several projects can have a greater impact on the success of transformation than launching yet another one.

    The Polish context: SMEs and large companies face different problems

    In the SME sector, transformation is most often led by the owner personally or by a narrow management team. There is a lack of time, competencies and budget. Decisions are practical and short-term, and implementations must show value quickly. At this scale, an MVP logic works well – automating one key process, simple no-code or low-code tools, deploying AI in a single area where the effect is immediately visible.

    In large organisations the problem is different. Budgets are larger, but so is complexity, there are silos, more stakeholders and a greater risk of projects with no clear owner. The importance of PMO, governance, internal communication and a consistent rhythm of managing the portfolio of initiatives grows.

    Put simply: in SMEs, change most often loses out to a lack of resources; in large organisations, to an excess of projects, internal politics and the absence of a single owner accountable for results.

    How to lead an organisation through change?

    Our practice at Zwyrtek Group shows that effective change management can be arranged into seven repeatable steps. This is not a ready-made recipe, but a framework that helps boards and owners avoid typical pitfalls.

    1. Diagnose the situation

    Establish what genuinely needs to change: processes, roles, systems, data, competencies, the way decisions are made. Without an honest diagnosis, every subsequent decision is a gamble.

    2. Define the business goal

    Change must have a goal expressed in the board's language: time, cost, quality, risk, margin, cash flow, compliance, scalability or customer experience. If a goal cannot be measured, it is also impossible to assess whether the change succeeded.

    3. Map stakeholders and risks

    Who gains, who loses, who will block it, who needs to be engaged, who makes the key decisions. Most conflicts around transformation are predictable – if someone takes the time to anticipate them.

    4. Design the target process

    We do not start with technology. First we design the way of working after the change – the flow, decisions, roles, control points – and only then choose the tools to match.

    5. Communication and leader engagement

    Change requires language employees understand: why we are doing this, what will change, what stays the same, what is expected, when and how progress is measured. Middle managers must be the first, not the last, recipients of this communication.

    6. Implementation, training and support

    Training must cover not just how to operate the tool, but above all the new process, accountability and decision-making. Post-launch support – hypercare, mentors, a fast-question channel – often determines adoption.

    7. Embedding and measuring results

    Change is only complete once the new way of working is visible in KPIs, reports, the rhythm of management and everyday behaviours. Only then can it be said that the organisation has genuinely gone through the change.

    How can Zwyrtek Group help?

    Zwyrtek Group supports organisations through change not only in an advisory capacity, but also operationally. We work with boards, owners and teams as advisers, interim managers or fractional managers, depending on the scale and pace of the transformation.

    The scope of our support includes, among other things:

    • diagnosing the organisation, its processes and readiness for change,
    • mapping stakeholders and risks,
    • designing the target model and the "to-be" process,
    • supporting boards and owners in strategic decisions,
    • PMO and management of the transformation project,
    • interim and fractional management in key functions,
    • advisory on digital transformation and AI readiness,
    • automating processes and deploying no-code/low-code tools,
    • changing the management-reporting model,
    • preparing teams for KSeF, AI, ERP, CRM, BI and workflow,
    • training for leaders and teams,
    • communicating change within the organisation,
    • measuring outcomes after implementation.

    If you are planning to implement a system, automate processes, run an AI project or reorganise how your teams work – let's talk about change in your organisation.

    Michał Zwyrtek combines advisory and management experience with the AgilePM®, PRINCE2®, MoR®, Change Management™, Design Thinking and PwC's BXT (Business, eXperience, and Technology) methodologies. This allows us to support organisations not only in designing change, but also in carrying it through processes, people, risks and management decisions – including in turnaround-management projects.

    It is also worth looking at the scope of our services and the Zwyrtek Academy training catalogue, including programmes for leaders and teams going through change.

    Tags#change-management#digital-transformation#ai#automation#management#processes#smes#erp
    Michał Zwyrtek — Partner
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    Michał Zwyrtek

    Partner

    Combines a financial, advisory and digital perspective in strategic and implementation projects.

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    FAQ

    Frequently asked questions.

    Change management is the deliberate design and delivery of an organisation's transition from its current way of working to a new one – across processes, roles, tools and people's behaviour. It is not limited to communication or training; it includes the business goal, a stakeholder map, process design, implementation and embedding the outcomes in KPIs.

    Most often because the organisation buys technology but does not change the process, does not prepare users and does not appoint a business owner. The system starts running alongside old habits rather than replacing them. According to the studies cited, adoption and organisational readiness are decisive, not the choice of tool itself.

    Yes, and to an even greater extent than classic IT projects. AI changes the division of tasks between human and tool, competencies, quality control and legal and ethical risks. Without governance, rules of use, training and a clear definition of where the decision belongs to a human, deploying AI becomes a source of chaos rather than value.

    Above all, by explaining early and honestly why the change is happening, exactly what will change in day-to-day work, what is expected and how progress will be measured. Middle managers play a key role – they must understand the change before their teams hear about it. Quick wins and visible support after launch reduce resistance more effectively than further presentations.

    With one specific process where the board and the team will see the effect: faster, cheaper, safer. At SME scale, an MVP logic works well – automating a chosen process, simple no-code or low-code tools, deploying AI in a single area. Only after the first success is it worth scaling the transformation to further areas.

    An IT project ends when the system goes live. Organisational change is only complete once the new way of working is visible in processes, decisions, KPIs and people's behaviour. An IT project can be signed off with a handover protocol; organisational change is only visible in the results of subsequent months.

    Zwyrtek Group supports organisations from diagnosis and designing the target model, through project management, communication, training and implementation, to measuring outcomes. We can act in an advisory, operational, interim or fractional capacity, depending on the scale and needs of the organisation.
    CHANGE IN THE ORGANISATION

    Technology won't implement itself.

    We support boards and owners in designing and leading change: from diagnosis and decisions, through processes, people, risks and communication, to implementation and embedding new ways of working. We draw on advisory, managerial and methodological experience including AgilePM®, PRINCE2®, MoR®, Change Management™, Design Thinking and PwC's BXT.