An automated system and method provides a diagnosis and remedy to a business information system. From an initial model of a proposed system architecture, performance metrics are modeled and compared against a set of user-defined corporate and business requirements. The performance metrics include cost, quality of service and throughput. From these metrics and requirements, a business ephemeris or precalculated table is produced, to cross reference enterprise situation and remedy. From the ephemeris, cases can be generated to comprise characteristics, diagnosis and proposed solutions relating to states of the model or business information system. A matching engine matches a case to a state of the model or information system. The matching case can be employed to report a diagnosis and proposed remedial actions, as well as to implement remedial actions automatically. Off line a mathematical modeling member provides feedback to further update the business ephemeris and case base.