WEB-BASED SMART COMPLIANCE AUDITING USING ARTIFICIAL INTELLIGENCE: A PROACTIVE DECISIONS SUPPORT SYSTEM FOR FINANCIAL AUDITORS

Osifalujo Babatunde Bunmi, Kola Abiola & Adedokun Lateef Babatunde

Department of Accountancy, Moshood Abiola Polytechnic Abeokuta

Ogun State Nigeria

Department of Computer Science, Moshood Abiola Polytechnic Abeokuta, Ogun State Nigeria

Department of Accountancy , Yaba College of Technology, Lagos Nigeria

Email: babatunde@gmail.com

ABSTRACT

This research focused on the application of computer in auditing financial records with particular reference to artificial intelligence as a decision support aid for achieving specific, measurable, attainable, relevant, and timely auditing result. We proposed machine learning to automatically coding account entries. Data necessary for auditing process are accessed by the machine and it learning by themselves then generate result to support the auditor decision. The auditing report was generated by verifying variable required for auditing through fast iterative processing and intelligent algorithm to access compliances with the finance rules of the organization.

Keywords: Financial Auditors, Artificial Intelligence, Compliance Auditing, Decisions Support System, Financial Auditors, Smart.