The purpose of this investigation is to define the architecture of computer informing systems. The methodology is based on an interdisciplinary, big-picture view of the cognition units which provide the foundation for informing systems. Among the findings are the following: informing systems should be designed for rigor and relevance with respect to the cognitive units (information), integrating its purpose and goal to achieve its expected utility; informing systems should also be designed for reasoning richness, informing modes, informing quality, and predicting informing biases and filters. Practical implications: A well-designed informing system should provide as an output a message and resonant change by reflecting information that triggers the client’s behavior. Social implication: The quest for the development of informing systems is not supported by Academia in practice; it is only supported by a close circle of early leaders of such systemic applications who sought to enhance the existing information systems which very often process data but do not inform as they should. Originality: This investigation, by providing an interdisciplinary and graphic modeling of informing channels and systems, indicates the vitality of these systems and their potential to create better decision-making in order to solve problems and sustain organizations and civilization.