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Excellent decisions


In management,excellent decisions are often the result of experience, intuition and leadership. Anyone who has held responsibility for many years develops a feel for situations, markets, people and risks. This intuition is real and valuable. At the same time, the reality of modern companies shows that experience alone is no longer enough to reliably achieve the right results in complex decision-making situations. The conditions under which CEOs, CFOs and supervisory boards have to make decisions today have changed fundamentally. Markets are more networked, capital is more sensitive, reputational risks have a faster impact and decisions are hardly ever isolated, but almost always part of a larger, interconnected system.

Excellent decisions are no longer the result of clever thinking alone, but of the ability to make complexity manageable. In the past, it was often sufficient to evaluate individual projects, investments or measures separately. Today, projects compete for the same resources, budgets, personnel capacities and time frames. Every decision changes the starting position for all other decisions. This is precisely where the real challenge of modern decision-making begins, as the human brain is not designed to provide a reliable overview of high-dimensional decision-making spaces.

Many managers intuitively feel this pressure. Meetings take longer, decision-making processes become more political, votes are postponed because nobody wants to take full responsibility for a complex situation. Excellent decisions are then prevented not because there is a lack of competence, but because the complexity has silently grown beyond what classic management thinking can achieve. This is precisely where the most dangerous wrong decisions are made, not because of bad intentions, but because of systemic overload.

Traditional decision-making models such as structured catalogs of criteria, risk assessments or scenario analyses are still useful, but they reach their limits as soon as several projects have to be evaluated simultaneously. As soon as dependencies, interactions and limited resources come into play, the number of possible decision options increases exponentially. At a certain point, it is mathematically impossible to properly evaluate all relevant combinations in your head or with traditional tools such as Excel. Nevertheless, these decisions are made on a daily basis, often under time pressure, with incomplete information and under political pressure of expectation.

However, excellent decisions are characterized by the fact that they are not only plausible in the short term, but also sustainable in the long term. They not only stand up to internal discussion, but also to external scrutiny by investors, auditors, the media or supervisory authorities. In an age of increasing transparency, it is not only the result of a decision that is evaluated, but also the path to it. Anyone making a decision today must be able to explain why exactly this option was chosen and why other options were deliberately rejected.

This requirement is fundamentally changing the role of the CEO, CFO and supervisory board. Decisions are no longer just acts of management, but acts of governance. They must be comprehensible, justifiable and, ideally, reproducible. Excellent decisions are therefore not only correct in terms of content, but also structurally sound. This is precisely where a new quality of responsibility arises that can no longer be based on experience or intuition alone.

Many companies present a paradoxical picture. On the one hand, enormous analytical work is carried out, reports are created, scenarios are calculated and workshops are held. On the other hand, there is often a feeling at the end that only a small section of the actual possibilities has been considered. This is not due to a lack of diligence, but to the fact that traditional analyses almost always think in linear terms, whereas reality is not linear. Projects influence each other, budgets act as hard limits, time acts as a multiplier for risks and opportunities at the same time.

Excellent decisions are made where this non-linearity is not ignored but systematically taken into account. This means that decisions must not be viewed in isolation, but as part of a decision-making portfolio. It is no longer a question of whether an individual project makes sense, but rather which combination of projects will have the greatest overall impact under the given restrictions. This way of thinking contradicts many management instincts, which are geared towards maximization, growth and full capacity utilization. In practice, however, it has been shown time and again that fewer projects, properly combined, generate a significantly higher overall benefit than many initiatives pursued in parallel.

This is a key difference between good and excellent decisions. Good decisions optimize locally, excellent decisions optimize globally. Good decisions look at individual measures, excellent decisions look at the overall system. This difference is subtle but crucial. It explains why companies with similarly talented management teams can achieve very different results. It is not the quality of the individual managers that differentiates them, but the quality of the decision-making logic they apply.

Human intuition is excellent at recognizing patterns, but poor at correctly assessing probabilities across many dimensions. This is precisely why managers often overestimate the impact of individual lighthouse projects and underestimate the cumulative effect of many small, well-coordinated measures. Excellent decisions therefore require supplementing human judgment with systematic, computational methods that are capable of fully analyzing large decision spaces.

This is where the transition from classic management to modern decision intelligence begins. Decision intelligence does not mean delegating decisions to machines, but supporting human decisions with mathematical precision. It creates transparency about which options exist, which combinations are possible and what the consequences are. Excellent decisions then arise from the interplay of strategic objectives, human experience and systemic calculation.

For CEOs, this means a new form of sovereignty. Those who know that their own decisions are based on a complete analysis of all relevant options can make decisions more calmly, clearly and independently of political influences. For CFOs, it means a new quality of capital allocation, where the focus is no longer on defending individual budgets, but on the overall value contribution of the company. For supervisory boards, this creates a completely new level of transparency that allows them not only to approve decisions, but also to understand and take responsibility for them.

Excellent decisions not only reduce risks, but also internal friction. Discussions shift away from opinions and towards effects. Instead of arguing about which project seems subjectively more important, it becomes clear which combination objectively generates the greatest benefit. This changes the culture of management bodies in the long term. Decisions become more objective, more focused and ultimately faster because the basis for decision-making is clear.

In this context, it becomes clear why purely structural decision-making models are no longer sufficient today. They help to organize thoughts, question assumptions and reduce blind spots, but they cannot achieve what mathematical optimization can. Excellent decisions require both structure and calculation. Without structure there is no orientation, without calculation there is no completeness.

This is precisely where StratePlan comes in. StratePlan is not a classic consulting method or another analysis tool, but a systemic decision-making and optimization system. It was developed to fully calculate complex decision portfolios under real restrictions. It does not evaluate individual projects, but analyzes and compares all sensible combinations of projects. The result is not a recommendation in the sense of an opinion, but a mathematically reliable statement about which portfolio generates the highest overall benefit under given conditions.

The decisive difference is that StratePlan not only simulates scenarios, but also calculates decision spaces in full. This makes it clear which decisions are actually excellent and which only appear good because alternatives have not been considered. This transparency fundamentally changes decision-making processes. It makes implicit assumptions explicit and shows where a supposed lack of alternatives was in fact just a lack of calculation.

Excellent decisions thus become verifiable. They can be documented, explained and retraced in retrospect. This is not only relevant from a governance perspective, but also from a strategic perspective. Companies that have mastered their decision-making logic are more adaptable, more resilient and more successful in the long term. They don't just react to change, they anticipate it.

Ultimately, it is not about replacing human leadership with algorithms. It is about enabling managers to fulfill their responsibilities without being overwhelmed by the complexity of modern decision-making environments. Excellent decisions are no coincidence, they are the result of a system that combines thought, experience and calculation in a meaningful way.

In a world where bad decisions are becoming increasingly visible and expensive, decision-making intelligence is no longer a luxury, but a necessity. Excellent decisions are the decisive competitive advantage of modern organizations. They arise where clarity, courage and mathematical precision come together. This is where the future of professional corporate management begins.

to the full report on Excellent Decisions

Author: Sascha Rissel CEO mAInthink

Sascha Rissel is an entrepreneur, strategic advisor, and technology visionary with more than 20 years of experience in the development, scaling, and optimization of complex business models. He combines deep business expertise with a strong technological understanding, particularly in the areas of artificial intelligence, algorithmic decision models, and system optimization.

Through initiatives such as StratePlan and DeepAnT, he actively drives the advancement of data-driven ROI calculation, intelligent project prioritization, and predictive analytics. His focus is on measurable impact, robust decision foundations, and translating highly complex mathematical models into practical, deployable solutions for business, public administration, and industry.

Sascha Rissel stands for a clear principle: consistently aligning strategy, technology, and impact.

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