The article provides a summary of existing concepts and methods for estimating the quality of information use in solving various problems. It is noted that there is a lack of mathematical models and frameworks to explain the measures of information quantity, quality, and information use in relation to human activity outcomes. The aim of the presented research is to suggest concepts and diagrammatic models for developing mathematical models of information use for technological and organizational systems, based on probabilistic activity models. The method of modeling suggested uses the concept of complex state and modeling of their transitions, including details about the possible elementary states and substates of the system, as well as the cause-and-effect relationships between those states and any measures that apply to them. The proposed diagrammatic models aim to close the gap between existing concepts and formalized actionable mathematical models and methods that can be used for discrete and organizational systems in the real world. The concepts of actionable knowledge and information value are highlighted as important concepts in today's knowledge-based economy, where organizations and individuals seek to gain a competitive advantage through the effective use of information and knowledge.