The video highlights the growing complexity and cost of compliance and audit tasks due to expanding regulations like GDPR, Dodd-Frank, AML, KYC, and ESG reporting. Traditional methods involve manual processes such as reading dense regulations, cross-checking documents, and producing reports, which are time-consuming and prone to errors. The introduction of automation, specifically through large language models (LLMs), offers a solution by efficiently processing regulatory documents, corporate policies, and financial statements. These models can identify issues, anomalies, incomplete records, and contradictory policies, thus reducing the need for manual sampling and allowing continuous auditing across all documents. This automation not only saves time but also enhances accuracy and coverage in compliance tasks.