Our causal deconstruction method is a seven-stage scientific methodology that is used to understand the constituent components of a system and any dependencies by establishing the base dynamics, deconstructing complexity, constructing an emulator, predicting singularities, comparing to the actual system, defining improvements and monitoring the execution.

Causal deconstruction allows us to uncover results that often defy the common wisdom that stops at the wrong level of analysis and usually produces a host of misleading conclusions. Using this method, we can promote the right approach of analysis and mathematics capable of solving the problem within an environment where dynamic complexity has become the major risk.