Auditor Confirmation Letters Generator
Python-based Confirmation Letter Generator streamlines audits by automatically reading detailed listings of Trade receivables and payables from Excel, applying user-predetermined haphazard and target test sampling, and generating confirmation letters in a Word file.
Journal Entry Pattern Detector
This blog post introduces a beta tool for detecting anomalies in journal entries using an Isolation Forest algorithm, which analyzes general ledger data to identify and flag unusual transactions based on patterns in dates, accounts, amounts, and descriptions.
Quantitative Approach to Auditing Forecasts in Going Concern Assessments and Valuations
This blog post discusses the importance of supplementing traditional audit methods with quantitative techniques, such as time series analysis and regression, to enhance the accuracy of going concern assessments and valuations, providing practical examples and insights for auditors.