AI integration for enhanced decision support

The topic of integration of artificial intelligence with traditional MIS and DSS has generated interest and attention over the past few years. As applied AI has matured and developed beyond expert systems to include neural nets, genetic algorithms, model based systems, fuzzy logic, natural language and case-based reasoning, the need to provide perspective for the integration of these AI technologies with each other has become an issue of interest and concern. This paper provides a perspective that is problem driven and suggests that AI integration is a matching process of problems/sub-problems with appropriate AI or other problem support technologies which then can be integrated to provide enhanced decision support. AI integration is demonstrated within the context of internal control evaluation where the emphasis is on detecting/preventing financial fraud