Traditional audit processes, often based on laborious sampling and subjective judgment, are now yielding to a significant shift: data-led auditing. This methodology leverages advanced analytics and automation to examine vast datasets, uncovering irregularities and likely risks with unprecedented accuracy. Consequently, assurance levels are improvin