Payroll 4.0: Artificial intelligence-enhanced payroll systems for speed, accuracy, and compliance at scale

Increasingly large data processing in payroll systems leads to a need for a content knowledge based payroll system. However, payroll systems in large size organizations are usually poorly user controlled and occasionally poorly intelligible. In spite of increasing staff numbers and sophistication of data processing application, payroll problems confronted in large organizations remain essentially the same contended with small organizations.

Payroll is a variety of management systems which keep track of salary payments to employees covered by the personnel administration system. Data processing of payroll systems originates essentially from the bookkeeping records of payroll and salary expenditure. It is needed to eliminate duplication and verification of entries in the various documentation. Hence, this paper is concerned with the use of data processing equipment to assist, within a framework of principles and procedures, in the operation of payroll systems for statutory bodies and large organizations in particular. A number of financial hardware and software systems are devised to facilitate the processing of payroll related data and to generate payroll related reports needed by clients. A need for a properly designed conceptually based set of integrated systems to handle all payroll related data is contended for both statutory bodies and large organizations.