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The AI strategy for decision-makers and managers

Business excellence for decision-makers & managers by and with Sanjay Sauldie

KIROI - Artificial Intelligence Return on Invest: The AI strategy for decision-makers and managers

KIROI - Artificial Intelligence Return on Invest: The AI strategy for decision-makers and managers

Start » Navigating AI cultural change: A recipe for success for leaders
16 December 2025

Navigating AI cultural change: A recipe for success for leaders

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The rapid development of intelligent technologies is fundamentally changing businesses. Leaders face a monumental challenge. They need to undergo profound Mastering AI cultural change. This isn't just about new software or algorithms. It's about people, attitudes, and established structures. Many decision-makers underestimate this human dimension. They invest millions in technology. Yet, the expected results don't materialise. Why is that? The answer is both simpler and more complex. Transformation begins in people's minds. It requires courage, patience, and smart guidance.

Why AI cultural change requires more than technology

Technological innovations rarely fail because of the technology itself. They fail because of people and processes. Employees feel overwhelmed and left behind. Leaders communicate change inadequ enough. The company culture acts like invisible resistance. This dynamic is evident across all industries. In manufacturing companies, teams struggle with new automation solutions. They fear for their jobs and their skills. In service companies, friction arises between traditional departments and digitally-savvy pioneers. Sales sees itself threatened by data-driven recommendation systems. Customer service questions its future role. These fears and resistances deserve attention and appreciation [1].

Clients often report similar experiences. They have introduced modern systems. However, adoption remained low. Employees continued to use the old processes. The investment largely fizzled out without effect. Such situations arise from a lack of involvement of those affected. They arise from a lack of communication and unclear objectives. The AI cultural change therefore demands a holistic approach. Technology and people must be considered together. Only then can sustainable success be achieved.

The role of the leader in the digital transformation

Leaders have a decisive impact on company culture. They set signals through their own behaviour. If executive boards view technology with scepticism, this rubs off. If department heads block innovations, their teams follow. Conversely, openness is contagious and motivating. In transformation phases, leadership means primarily providing direction. Employees need clear messages and authentic role models. They want to understand where the journey is heading. They want to know what role they play in it.

This dynamic is particularly palpable in the financial sector. Banks are introducing intelligent risk analysis and customer advisory systems. On-site advisors experience these tools in different ways. Some see them as a relief and support. Others perceive them as control or a replacement for their expertise. The reaction largely depends on the communication from management. Insurance companies face similar challenges. Claims processing is accelerated by automated systems. Case workers question their future range of tasks. Managers must provide transparent information and outline prospects here [2].

Best practice with a KIROI customer

A medium-sized trading company faced a difficult situation. Management had introduced an intelligent merchandise management system. However, acceptance in the branches fell far short of expectations. Branch managers regularly bypassed the system, preferring to rely on their own experience and intuition. Central analyses therefore presented a distorted picture of reality. As part of our transruption coaching support, we analysed the causes together with the management team. It emerged that the introduction had happened too quickly. The branch managers felt neither heard nor involved. We developed a structured dialogue process with regional workshops. The managers learned to have open discussions about fears and concerns and received tools for appreciative communication. Within six months, system usage improved significantly. The branch managers began to contribute their own suggestions for improvement, transforming from those affected into active agents of change. This transformation was achieved through consistent support and genuine listening.

Mastering Communication as the Key to AI Cultural Change

Communication determines the success or failure of change processes. It must start early and be continuous. One-off announcements are never enough. People need repeated messages and various formats. Some can be reached through town hall meetings and large events. Others prefer small team discussions or personal conversations. Still others prefer to get their information through digital channels. Managers should consider and cater to this diversity.

The importance of good communication is particularly evident in the healthcare sector. Hospitals are introducing intelligent diagnostic systems and documentation solutions. Doctors and nurses are under enormous time pressure. They often experience new technologies as an additional burden. The introduction of voice-controlled documentation systems was actually intended to save time. In practice, it initially led to frustration and resistance. It was only intensive training and continuous support that changed this perception. Communication about the benefits had to be adapted to specific needs. Nurses were interested in different aspects than administrative staff. This differentiated approach requires time and resources [3].

Understanding and constructively using resistance

Resistance to change is completely normal and human. It often signals important information about planning blind spots. Leaders should not fight resistance, but rather seek to understand it. Behind it often lie valid concerns and valuable insights. People fear loss of competence and status. They worry about their professional future and their identity. These fears deserve respect and serious consideration.

In the logistics industry, we experience this dynamic regularly. Freight forwarders and logistics service providers are increasingly automating their processes. Dispatchers see their traditional role threatened by optimising algorithms. Warehouse workers wonder about the future of their work. Drivers experience increasing surveillance through telematics systems. These developments provoke understandable reactions. Constructive leadership takes these concerns seriously. It creates spaces for open exchange and joint learning. Transruption coaching supports companies in professionally designing such dialogue processes. The guidance helps to use resistance as a resource.

Clients frequently report surprising turns of events. Employees who were initially considered the biggest sceptics became valuable ambassadors. Their critical questions had uncovered important weaknesses. After these were rectified, they actively supported the change. These experiences demonstrate the value of an appreciative attitude towards resistance.

Competence development as the foundation of transformation

New technologies require new skills and competencies. This development does not happen automatically or incidentally. It needs systematic support and continuous guidance. Leaders must create learning spaces and provide resources. They should lead by example as learners themselves. The need for skills development is clearly evident in the real estate industry. Estate agents are increasingly working with data-based valuation systems. They use virtual viewing tools and automated exposé creation. These tools require technical understanding and new ways of working. At the same time, interpersonal competence remains indispensably important [4].

Property management companies are digitalising their processes and customer communications. Staff need to learn how to use portals and apps, while simultaneously retaining their professional expertise. This integration of tradition and innovation is not always smooth. Similar challenges are emerging in the construction industry. Project managers are using intelligent planning systems and resource optimisation. Tradespeople are working with digital measurement systems and documentation tools. Acceptance varies significantly by age and prior experience. Good leadership takes these differences into account and offers differentiated support.

Best practice with a KIROI customer

An energy supplier wanted to fundamentally transform its customer service. The introduction of an intelligent assistance system for hotline employees was planned. Management expected quick efficiency gains and cost savings. However, the initial pilot phase was disappointing. Employees used the system reluctantly and incompletely. Customer feedback showed no improvement in service quality. Our transruption coaching support focused on the management level. We first worked with the team leaders on their own attitude towards change. It became apparent that they themselves were uncertain and sceptical. This attitude was unconsciously passed on to their teams. In intensive workshops, we developed a new understanding together. The assistance system was not intended to control, but to support. The team leaders learned to credibly convey this message. They received coaching techniques for conversations with sceptical employees. After three months, the atmosphere had changed noticeably. The usage rate of the system increased continuously. Employees began to contribute their own improvement ideas. The customer service received positive feedback on the new technology for the first time.

Sustainable embedding of change in corporate culture

Successful transformation doesn't end with the introduction of new systems. The Mastering AI cultural change means shaping lasting change. New behaviours must become habit. Changed processes require anchoring in structures and incentive systems. This consolidation requires continuous attention and care. Leaders tend to move on to the next project after its implementation. However, the real work on culture only begins after the rollout. Without sustainable support, teams often fall back into old patterns.

In the media industry, this challenge is particularly evident. Publishers and media companies are fundamentally transforming their business models. Editorial teams work with data-driven topic planning and reach analyses. Journalists use intelligent research tools and text assistants. These changes affect the self-perception of an entire professional group. Advertising agencies are experiencing similar upheavals in their creative processes. Designers work with generative systems and automated image editing. Copywriters use language-based assistants for initial drafts. The question of the core of human creativity is being intensively discussed [5].

These discussions are valuable and necessary for genuine cultural change. They should not be suppressed, but rather encouraged. Transruption coaching supports such reflection processes within companies. The impulses help to collaboratively develop new role models and working methods. Leaders learn to constructively moderate such dialogues.

Success factors for AI culture change in practice

Key success factors can be derived from numerous support projects. Firstly, transformation requires time and patience. Cultural change doesn't happen in weeks or a few months. Secondly, management involvement is indispensable and non-delegable. Boards of directors and managing directors must lead visibly and take responsibility. Thirdly, change only succeeds with the genuine involvement of those affected. People support changes they could help shape.

In the catering and hotel industry, we regularly see these principles confirmed. Hotels introduce intelligent booking systems and guest services. Restaurants use data-based menu planning and order optimisation. Acceptance levels among staff depend heavily on the method of introduction. Employees who were involved early on show higher motivation. They often develop creative application ideas that no one had foreseen. These experiences confirm the value of participatory change processes.

Fourthly, change requires clear communication about purpose and goals. People follow changes whose benefits they can understand and relate to. Fifthly, transformation demands tolerance for mistakes and a willingness to learn. Not everything will be perfect on the first attempt. Setbacks are both normal and instructive.

My KIROI Analysis

The support of numerous transformation projects shows a clear pattern. The technical aspect of introducing intelligent systems is usually manageable. The real challenge lies in the human and cultural sphere. Leaders often underestimate the effort involved in genuine cultural change. They plan too little time for communication and engagement. They delegate responsibility to project teams instead of leading visibly themselves. These mistakes lead to avoidable resistance and delays.

At the same time, I am observing growing awareness of the human dimension of transformation. More and more companies recognise the value of professional support. They are investing in coaching and team development alongside the introduction of technology. This combination measurably increases the probability of success. The role of transruption coaching as support for such projects is gaining importance. Companies appreciate the external perspective and methodological expertise. They benefit from experience gained in other industries and contexts. The input helps to identify blind spots and adopt new perspectives.

For the coming years, I expect this development to intensify further. The Mastering AI cultural change becomes a core competence of successful leadership. Those who develop this ability give their company a decisive competitive advantage. Investing in people and culture pays off in the long term. It is not a soft supplement to hard technology. Rather, it is the foundation on which technological success becomes possible in the first place.

Further links from the text above:

[1] Harvard Business Review – Change Management
[2] McKinsey – People and Organisational Performance
[3] Gartner – Change Management
[4] Forbes – Leadership
[5] MIT Sloan – Artificial Intelligence

For more information and if you have any questions, please contact Contact us or read more blog posts on the topic Artificial intelligence here.

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