Background:

 As Artificial Intelligence (AI) transforms business processes, internal auditors must adapt by integrating AI into risk assessment, fraud detection, compliance monitoring, and audit analytics. As more organizations embed AI into finance, operations, and customer-facing workflows, audit teams also need the skills to assess new AI-related risks (data quality, model bias, automation errors) and use AI responsibly to strengthen assurance.

This 3-day Redefining Internal Audit with AI training provides auditors with the knowledge and practical tools to leverage AI for data-driven decision-making, streamline selected audit procedures, and enhance risk detection capabilities without compromising professional judgment and audit standards.

The program covers AI fundamentals, machine-learning applications in auditing, predictive analytics for risk assessment, and AI-powered audit tools. Participants will explore practical AI use cases in internal auditing (e.g., anomaly detection and continuous monitoring), regulatory and governance considerations, and how to integrate AI into audit frameworks, methodology, and reporting.