The paper aims to present possibilities of management support by more precise estimates of critical tasks in projects through the use of intelligent techniques. In this paper a case is considered in which the client is forced to change the project specification after commencement of investment. To minimize the loss, the client may attempt to find other alternative solutions to complete the project. In view of expenditure and investment in progress, a group of alternative projects that fulfill the assumed constraints (e.g. financial and temporal) is sought. To support the choice of alternative projects, estimates of critical tasks within the project are calculated, using intelligent techniques as well as traditional statistical methods. The results are determined using the database of past projects that are found in the information systems of the enterprise.
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