Using Claude to Detect Financial Statement Fraud: Practical AI Workflows

Generative AI is rapidly changing the way auditors and forensic accountants analyse financial information, enabling faster review of complex reports and more efficient identification of potential fraud indicators. When used appropriately, tools such as Claude can enhance professional judgement by uncovering inconsistencies, highlighting unusual disclosures, and supporting risk-based investigations—while still requiring human verification and professional scepticism. This practical webinar demonstrates how to incorporate Claude into financial statement fraud detection workflows. Participants will explore AI-assisted techniques for analysing annual reports, comparing multi-year filings, reviewing related-party transactions, identifying accounting anomalies, and generating fraud-risk hypotheses, while maintaining audit quality, evidential integrity, and with professional standards. Key Topics Discussed : Using Claude to analyze financial statements and annual reports Detecting inconsistencies across disclosures and financial data Identifying unusual accounting policy changes Reviewing related-party transactions with AI assistance Comparing multi-year financial filings efficiently Generating and refining fraud-risk hypotheses AI-assisted analytical review and anomaly detection Integrating AI into forensic accounting workflows Maintaining professional scepticism and human oversight Audit evidence, documentation, and verification requirements Ethical and governance considerations for AI use in audits Practical AI prompts and real-world fraud investigation examples View on LearnFormula