Webinar "Trustworthy AI in Audit: understanding findings and assessing them with confidence"
29 July 2026
10:00 am - 11:00 am
Location:
Online
Speakers
Georg Biller
Senior Consultant
Yeva Suzko
Data Scientist
Agenda
Which findings truly matter? Where is a closer look worthwhile? And how can auditors trust the results generated by AI?
In this Audit Spotlight, hosted in collaboration with IIA Austria, you will learn how knowledge-based AI can support auditors in analyzing SAP data without becoming a black box.
Using practical audit scenarios, we demonstrate how anomalies such as late payments, manual journal entries, or unusual transactions can be identified and better understood. The focus is on providing transparent, explainable, and insight-driven support throughout the analytics process.
When it comes to using AI in Internal Audit, trust is essential. Identifying anomalies alone is not enough. Findings must be backed by data, clearly explained, and assessed with confidence.
In this webinar, you will learn:
- how to interpret and evaluate analytics results within the relevant business context
- how an AI-powered assistant can support root cause analytics
- how targeted questions about findings can be answered effectively
- and why trustworthy, knowledge-based AI offers greater value than a generic large language model (LLM)
Speakers
Georg Biller | Senior Consultant at dab
In his role as Senior Consultant, Georg specializes in data analytics, advisory services, and the implementation of solutions such as dab Nexus. Based in Deggendorf, Germany, he is passionate about connecting business requirements with practical, real-world solutions.
Yeva Suzko | Data Scientist at dab
Yeva works on the development of innovative analytics and AI solutions. Her focus lies in exploring how modern technologies can help organizations analyze, understand, and interpret their SAP data more effectively.
Previous events
29 July 2026
Webinar "Trustworthy AI in Audit: understanding findings and assessing them with confidence"
09 June 2026 - 11 June 2026
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