Internal audit teams are under pressure to "do more with AI." Most run into the same wall before they even start: data they can't actually use.
This on-demand session focuses on what has to happen before AI — reliably accessing, centralizing and standardizing enterprise data, with a particular focus on financial data. Dr. Hernan Murdock and Michael Petersen walk through the obstacles audit teams deal with every day (limited access, fragmented systems, non-standardized formats) and the approaches that actually make data usable for analytics and AI agents.
What you'll take away
- The most common data barriers holding back analytics and AI in internal audit
- How accessible, centralized and standardized data changes what your team can do
- The privacy, governance and risk considerations that come with using organizational data with AI
- Practical approaches for making data usable for analytics, AI agents and other audit technologies
Your speakers
Dr. Hernan Murdock - Former VP of Audit Content at ACI Learning and MIS Training Institute. He has held a range of audit positions and led audit and consulting projects for clients across industries.
Michael Petersen - Enterprise Account Executive at Supervizor. For three years he has partnered with CAEs across the US and Canada on analytics, continuous monitoring and strategic advisory strategies.