The intellegence behind the design of the NEAT suite of applications NAble uses the dyamically collected data by NCompass to make business decisions based on tag events. NAble rules use cause and effect type rules to make actions occur based on tag being observed at specific locations or time of day. A multi-threaded binary decision processing engine that can accept rules either imported from other applications or designed ad-hoc by the user. NAble can use imported data as rules sets or rules set can be entered by user. Rules are created using if, then, else type logic. Create and use rule sets to enforce Parent/Child tag associations. Use parent/child relationships to enforce inventory management of laptop computers, test equipment, and sensitive materials. Use as theft deterrent and to insure proper removal of items by the proper personnel.