The study describes the problem of developing an intelligent system for optimizing adaptive management of the investment projecting process. It is proposed to use network models and methods as tools for economic and mathematical modeling of solving this problem. The paper considers a new optimization network economic and mathematical model that takes into account the presence of several acceptable technologies in the investment projecting process, various options for their implementation, and uses a vector objective function to assess the quality of its implementation. Based on solving a set of network modeling problems for investment projecting that correspond to acceptable technologies and various options for their implementation, using the construction of critical paths and the method of scalarization of a specific vector objective function, a method for solving the formed multicriteria optimization problem is proposed. The developed original methodology makes it possible to implement the process of automation and optimization of adaptive control of the investment projecting process based on network modeling, including coding of all investment projecting operations, determining the interrelationships of operations, the sequence and timing of their execution. Based on the proposed methodology, an intelligent computer system for optimizing adaptive control of the investment projecting process has been developed and created in the presence of several technologies and a vector objective function. The created intelligent computer system makes it possible to automate, optimize and support management decision-making using feedback when implementing complex investment projects.