AI Roundtable: Using AI for testing
November 6, 2025 | 2:00 PM - 3:00 PM
November 6 @ 2:00 pm – 3:00 pm EST
This interactive roundtable walks through a real-world internal audit case study using AI to accelerate testing and analysis in an executive travel audit. Participants will see how AI can assist with formula generation (e.g., switching from VLOOKUP to XLOOKUP for de-identified datasets), full-population timeliness testing, risk-based sample selection, policy lookups, and workflow validation, while emphasizing verification, data hygiene, and auditor judgment. The session will be highly interactive and attendees are encouraged to share their own experiences using AI in auditing, what worked, what didn’t, the prompts and tools they rely on, and the guardrails they’ve put in place.
Delivery Method: Group Internet
Field of Study: Specialized Knowledge
Advance Preparation: None
Prerequisites are required: No
Cost: Free for members; members only
Recommended CPEs: 0
Moderator Information
Mai Konate
Internal Auditor
University at Buffalo
I’m an internal auditor with a strong passion for artificial intelligence and data analytics. I specialize in analyzing large datasets using statistical methods and data visualization tools to uncover trends and insights that enhance audit quality. With a bachelor’s degree in Financial Analysis and a master’s in Business Analytics, I strive to integrate AI and data-driven techniques into some audit engagement to elevate efficiency, accuracy, and impact.