Our Guiding Principles
Complexity
Organizations are not machines made of cogs. They are complex adaptive systems of employees that interact with each other and the outside world in a way that is difficult to predict. They also belong to a wider complex system of economy. This complexity has the following properties: non-linearity, no simple cause-effect relationships, unintended consequences, emerging behaviour, scaling, network effect, constant dynamics, and evolutionary forces. Within this complexity, one can always find pockets of simplicity and predictability though.
Critical Thinking
Along with the intellectual curiosity that animates us and allows us to explore the realm of all possibilities regardless of our path and experience, we always strive to question conventional thinking and knowledge, especially in a world that is becoming more complex.
Uniqueness
Every person, every company is unique, even for those belonging to the same industry. This uniqueness is the starting point of all decision making. Unfortunately, conventional management practices completely ignore this factor. It's the role of every leader to really understand its uniqueness and develop the success model that fits it the most.
Convexity
It is very important to shield oneself against decisions that have the potential of ruining the business. One can take all the risk in the world but should always cap the downside. Similarly, the best decisions are of a convex nature where the upside is unlimited and the downside limited.
Computation
Every field has the potential of transformation through computational thinking, which is a way to think about real-world issues computationally. This goes beyond digitization as it teaches decision makers to translate their thinking into a language that can be understood by computers as a first step towards sorting out real-world problems.
These guiding principles are rooted in our own personal and intellectual history which was influenced by three main bodies of knowledge: the work of Nassim Nicholas Taleb, complexity science, and the work of Stephen Wolfram. They are also in a constant flux and may be subject to revision