Automate journal entry selection and elevate audit quality to the next level with your preferred high risk criteria as well as AI-powered outlier detection. Significantly cut preparation time while increasing effectiveness.
Audit teams performing ordinary audits face significant challenges in the journal entry selection process, impacting both delivery timeline and relevance of entry selection.
Auditors spend hours or even days manually preparing and selecting journal entries, delaying client communication and testwork.
Due to time constraints, auditors apply high risk criteria without having the full picture of the risk assessment, for example how many potential hits there are for high risk criteria.
Critical outliers and suspicious patterns can slip through manual selection, as these are not necessarily flagged by high risk criteria.
Manual selection processes often lack robust documentation, making it difficult to justify and maintain a clear audit trail.
Leverage advanced ML-models and automate your journal entry testing process.
Advanced isolation forest ML-algorithms identify anomalous journal entries that deviate from normal patterns, catching what humans might miss.
Built-in risk assessment based on Swiss Audit Standards and best practices, ensuring streamlined evaluation.
Every risk criteria receives a score, allowing auditors to effectively select high risk criteria.
Compliant and ready-to-file audit trail and documentation of all selection decisions to meet even highest regulatory requirements.
We ensure data protection at all times, our servers being hosted exclusively in Switzerland. Our ML-models and other AI-assistants are completely independent from the internet.
As Swiss certified audit experts, we have the required knowledge, integrity as well as the experience in the Swiss audit industry.
Four simple steps to obtain a comprehensive list of high risk entries.
Securely import up to millions of rows of journal entry data via CSV or Excel.
The Pre-Analysis Dashboard helps you assess industry standard risk criteria as well detected outliers from our ML-model.
From the Pre-Analysis Dashboard, identify your prioritized risk criteria to obtain your list of high risk entries.
Generate and download your tailored documentation and export your selected entries with complete justification for testing, ready for client delivery.
Sign up and we will get in touch with you to unlock the new standard of AI-powered journal entry testing.