The article presents first part of knowledge management systems construction methodology, based on application of artificial inteligence elements and particularly on application of expert systems. The starting point is the analysis of production knowledge resources, present in the company, which alow for realization of the basic aims in production preparation. Depending on the sources alocation, knowledge resources can be divided into basic groups of information about processes, systems and products. Intelectual capital of production companies with its constituent parts have been characterized as: the market, the organization, the human and the innovative capital. Coefficients were listed, with regard to monitoring of human capital, which al- low for changes forecasts in production processes. Knowledge management processes were described, taking place in production companies, including modes of purpose and knowledge evaluation. They include processes such as: locating, obtaining, development, distribution, use and preservation of knowledge. Production knowledge processing stages for the needs of the knowledge management system have been presented. The folowing stages have been distinguished: identification, conceptualisation, formalisation and implementation of the knowledge in the system. The methodology of construction requires a production knowledge management system model. The basic elements of this model are: database of the production system, module of production orders and the production knowledge base. This model wil be applied in production processes design for a given company type. It was the basis for elaboration of an expert system structure. This structure includes the following modules: determining and evaluation of intelectual capital, concluding, explanatory, generating and user dialogue. The system implementation proposed application of SPHINX - artificial inteligence package. The next part wil include test results, from tests to be carried out in a chosen group of production companies.