Optimizing Technology Audit Lifecycle

This research chapter examines strategies to optimize the technology audit lifecycle, focusing on the growing reliance on IT and evolving regulatory demands. It reviews traditional IT audit phases-planning, fieldwork, monitoring, and followup- starting with the planning phase, which sets the audit’s direction through analysis of standards, economic conditions, and prior findings. Fieldwork involves assessing controls, conducting interviews, and evaluating risks. Monitoring tracks the implementation of recommendations and management responses. Proposed optimization strategies include integrating data analytics in planning, adopting control self- assessment (CSA), utilizing generalized audit software, and enhancing reporting and follow- up. The chapter also explores the impact of artificial intelligence (AI) on auditing, emphasizing the need for effective project management and stakeholder engagement. Additionally, it covers continuous auditing techniques and automation to improve audit effectiveness and efficiency.