In this paper we describe a system aimed at providing software support for the process of knowledge acquisition. Such support comprises a workbench incorporating a number of knowledge acquisition tools; knowledge elicitation techniques such as sorting and rating methods, together with machine learning techniques. The paper discusses the various problems raised by this work. These include; defining an adequate view of the general acquisition process, developing an appropriate implementation architecture, directing knowledge acquisition via knowledge level models and producing a sufficiently powerful representation language to integrate the results of acquisition. Finally we describe the limitations of our current system and future developments in our work.