Antoine Trad, Paris La-Defense France, France

This article presents Artificial Intelligence (AI) role in complex Transformation Initiatives and Projects, in which Language Processing Environments (LPE) like Machine Learning (ML) and Natural Language (NL) Processing (NLP) and other are applied to integrate, and implement enterprise’s Audit, and Governance (LPE_AG) Framework (LPE_AGF). Where the author privileges an Authentic Local Implementation (ALI) approach for such a holistic framework. Taking into-account various domains related to audit, governance-analytics, and where the application of AI and LPE, is apriority. The proposed approach was analysed and the related basics were hammered [1] and, in this article, an adapted implementation is presented to support the mentioned basics and fundaments. Such an implementation supports auditors to get precise insights from stored data and experiences, to be used by dedicated frameworks, like the LPE_AGF. The LPE_AGF relied on AI Subdomains (AIS) to achieve various AACG tasks, and especially to automate AACG procedures by applying LPE. The main AIS that is applied is ML which learns from patterns and to mitigate important risks. Project risks cause transformation projects’ eXtremely High Failure Rates (XHFR) at about 95%. This article implementation uses standard Enterprise Architecture (EA), audit methodologies-frameworks, decision-making system, interfaces for existing AG frameworks like the Control Objectives for Information and Related Technologies (COBIT), Committee of Sponsoring Organization’s (COSO) Enterprise Risk Management (ERM)... For the implementation or Conceptual Proof of Concepts (CPoC) needed: 1) A specialized framework; 2) A Polymathical approach; 3) Solutions built on blocks; and 4) Offers a set of recommendations on LPE_AG’s implementation [1].

CPoC, Language Processing, Machine Learning, Artificial Intelligence, Natural Language Processing, Auditing and control procedures, Transformation Projects, Enterprise Architecture, Automation, and Decision-making.