Kenviro's Expert Systems have an Automatic Knowledge Acquisition feature to reduce the disadvantages of manual knowledge acquisition. The knowledge was sourced from a text in the natural English language. This method will perform a Text Mining process including Information Retrieval Information Extraction and also involve a clustering process using Self Organizing Maps neural networks. The Automated Knowledge Acquisition process was developed mainly based on Ardi's master thesis research. During the development, ARDVRO also undertake research to improve the accuracy of the automated knowledge acquisition results. Furthermore, add abilities to perform the automatic knowledge acquisition from google search and URL.

Kenviro's Expert System also provides an input form to enter the knowledge base manually, therefore the conventional forward chaining and backward chaining inference method are available. This expert system can also be configured to utilise the manual knowledge base input and combine it with the Dempster-Shafer inference method.

Kenviro provides easy steps to generate the configurable expert system. First of all, define the subject, then select an inference engine method. Secondly, select one or more of the knowledge acquisition types: Automated from English text files, Automated from Google, Automated from websites URL, or manual input later. Finally, after selecting the knowledge files, URL or Google keywords, click Generate. The delivery time will depend on the knowledge acquisition method. If the user only selects the manual input method, then the system will be ready immediately. However, the automated knowledge acquisition method will take several hours to finish, it very much depends on the size of the documents.

Please notice, that the accuracy of the knowledge base results from the automated knowledge acquisition process will be highly dependent on the quality of the text. If the text documents were written in good English literature, formal and academic writing, thus the accuracy of the knowledge base will also increase. Similar to us as a human, when we read a textbook with good English literature, the knowledge we gain will outperform the textbook written in bad English literature. The accuracy of the automated knowledge acquisition results can be improved by adding more good quality text documents. In other ways, the user can edit or input it manually to an existing knowledge base.

Kenviro's Automated Knowledge Acquisition only support English text documents. For the other language, the client can utilise the manual input knowledge base.

Kenviro's Expert System have two modes of User Interface to be used by the users. The first one is the analytic form, which provides a set of Yes-No questions related to the keywords to be answered by the users. After submitting the form, the system will calculate all the answers, then display the issues, and also the solutions. The other one is the Chatbot widget. On the chatbot widget, the Yes-No questions will be provided one by one, each time user answers a question an analysis result would be produced. Therefore, the number of questions on the Chatbot widget mode could be less than the analytic form, and perhaps a more accurate result.