AI is transforming ERP audits by enabling auditors to use natural language questions (NLQ) that are automatically converted into SQL queries. This allows auditors to analyze full datasets, test multiple audit scenarios, and identify anomalies, control gaps, and risks in real time without manual sampling or complex coding. The result is faster audits, broader coverage, and a shift from manual checks to proactive, insight-driven assurance.
Traditional audits rely on manual sampling, interviews, and static reports to detect risks to IT & business. With AI & ML, auditors can self-serve or analyze entire datasets and identify risks to spot deviations. AI-driven audits reduce audit cycles and strengthen assurance over ERP operations.
Learning Objectives:
1. Understand how NLQ-to-SQL enables full ERP data analysis without manual queries.
2. Learn how AI supports rapid, multi-scenario audit testing to detect risks and control gaps.
3. See how AI shifts audits from manual testing to proactive, insight-driven assurance.
Educational Tracks:
Cloud ERP
Cloud HCM
Cloud SCM
Presenters:
Aswanth Vaidiswaren, Enterprise Architect, Lead Application Engineer, DocUSign, Oracle Ace Associate
Jeff Hare, CEO & Founder, ERP Risk Advisors