Escaping the Data and Document Dumpster Fire

Document review and data management shouldn’t feel like a dumpster fire—yet for many audit and finance professionals, that’s exactly what it is.

Validis CEO, Michael Turner, and DataSnipper VP of Demand Gen, Remco de Vries held a candid, practical discussion on how AI is helping teams escape the chaos of manual workflows. They talked through real-world examples of how AI is transforming document-intensive tasks like data extraction, cross-referencing, and exception tracking—without compromising compliance or audit quality.

Whether you're already experimenting with AI or just starting to explore the possibilities, this session will equip you with a clearer understanding of what AI can (and can’t) do in audit and finance.

What we covered

• Common document pain points slowing down audit and finance teams
• Practical use cases of AI in document review, data extraction, and risk detection
• What an AI-enhanced audit workflow looks like in 2025
• How to ensure AI outputs are accurate, explainable, and audit-ready
• Future trends and skills needed to thrive in AI-enabled finance roles

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