Software for Computerized System of an Artificially Intelligent Robotic Manager for administering and supervising concerned human operators involved in Workflow processes of any organization.

特許 権利維持 Computing Technology and Artificial Intelligence(AI) have come a long way in the processing of sustainable changes across business verticals as well as personal stanzas. A recent invention has exhibited a culmination in AI Technology by introducing an Intelligent Robotic Manager for managing concerned human operators involved in Workflow processes of any organization, private or governmental. Managerial Robot by definition implies managing human staff. But “Machine Rules Man” concept is not yet perceivable in our human society. However, in routine business operations, the concerned staff engaged in daily Workflow business processes will not see much difference in their activities. Only the human managers who used to administer and supervise the processing jobs will be replaced by an invisible real-time computerized system which is working in the background but still communicating with them electronically as real managers would do by other means. Artificial Intelligence required to be imparted to the AI System for this level of manager is relatively simple and any additional intelligence, if and when required, is enabled to the automated system by providing communication facilities via a Human Interface Gateway Module with the relevant authorities of the organisation electronically during live operation. The concept of robotic member of staff has been developed by Asim Datta and is based on the “Servomechanism Principle” of Control Engineering, one of the most important theories for automation of mechanical instruments. The principle is based upon generation of feedback by the mechanical system derived from the error signal which is the deviation of the current state from the target for triggering the next corrective movement of the system and this cycle goes on in a closed loop indefinitely until the target is fulfilled. In this non-mechanical automated business system, the generation of feedback to carry out the next Workflow processing is aimed at various business operational goals from within its own dataset which is embedded with intelligence about organization’s operational policy and rules. After completion of a processing job, either by executing an automated computer program or by alerting, monitoring and controlling concerned human operators via the Human Interface Gateway module, a feedback is generated for the identification of the next business activity using its intelligence stored within its dataset or by communicating electronically with the designated authorities. This closed loop of the last Workflow business activity, generation of feedback to identify the next business activity and execution of the same is continued until the business goal is fulfilled. Another plus point is that this single AI System takes full responsibility of managing business operations in all areas of business where generally different human managers are present. For instance, hardly there is any organisation where the business operations for purchasing in the purchase department is handled by the same manager looking after recruitment in the HR department. Such innovation, although initially sounds a bit unrealistic needs to be encouraged in order to pave the way for a new technologically enriched global value and ethics that will add to the sustainability of our social and business advancement. With “Machine Rules Man” kind of AI Systems becoming integral parts of our lives, one can only look forward to more reforms in terms of evolution of new systems and their positive impact on our lives and society.