AI RESEARCH
Automated Population-Level Audit Assurance via AI-Based Document Intelligence
arXiv CS.AI
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ArXi:2605.05252v1 Announce Type: cross Audit transaction testing validates accuracy and completeness of customer-facing statements against internal systems of record. Traditional manual, sample-based review of unstructured PDF statements is labor-intensive and does not scale to millions of transactions. This paper presents an automated framework for large-scale audit transaction testing using AI-based document intelligence. The solution leverages Snowflake Document AI to extract structured data from unstructured PDF statements using a small labeled corpus (approximately 20 documents.