Perspectives
From everyday practice.
Our perspective on developments that shape decisions. Selective. Direct. Sometimes uncomfortable.
Classification
What you’ll find here is drawn from real-world experience—from actual client projects, questions raised by decision-makers, and developments that directly impact organizations. Technological. Economic. Regulatory.
Our topics bring together factors that are having a parallel impact in practice: new technologies, changing conditions, and increasing pressure to make decisions. This is not evident in individual topics, but rather in the impact on the ability to act, organizational structure, and leadership.
The focus is on what follows.
Perspectives
Activity replaces progress
In many organizations, activity increases as soon as direction is lacking. Initiatives are launched in parallel, programs are expanded, and additional committees are created. Reporting becomes more frequent, and coordination efforts increase. To the outside world, this creates the impression of movement.
At the same time, progress is lacking. Decisions are postponed or only partially made. Priorities remain unclear, even though they are formally defined. The organization is working, but it is not moving forward.
The cause lies not in a lack of willingness to perform, but in a shift in leadership. Activity becomes a substitute for decision-making. Where there is no clear prioritization, everything is handled simultaneously. What is missing is not capacity, but direction.
Under pressure, this pattern intensifies. Instead of reducing complexity, it is organized. New structures emerge without existing ones being questioned. The result is a system that requires ever more energy to sustain itself.
For leadership, this means a clear task: activity is not an indicator of progress. What matters is whether decisions are made and implemented. As long as that does not happen, every additional initiative remains part of the problem.
Artificial intelligence is changing decision-making processes
In many organizations, the introduction of AI is treated as a technology project. Pilot projects are launched, use cases are defined, and initial applications are integrated. The focus is on efficiency and automation.
The real change takes place elsewhere. AI shifts decision-making. It changes who decides, when decisions are made, and on what basis. In many cases, hybrid decision-making spaces emerge in which responsibility is no longer clearly assigned.
This shift remains invisible at first. Processes continue to function, and results appear plausible. Only under pressure does it become clear that decision-making logic no longer holds up. Responsibility is distributed unclearly, and interventions occur too late or inconsistently.
Organizations often respond to this with additional controls: new committees, new approvals, and additional review mechanisms. This does not resolve the original shift but rather reinforces it.
The crucial question is not where AI is deployed. The crucial question is how decisions are organized. Without a clear allocation of responsibility and options for intervention, there is no gain in efficiency, but rather a loss of controllability.
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