A Path to Financial Statement Auditability with AI

---

Presented By:

MIT/LL

Description:

In this session, you’ll explore how Artificial Intelligence (AI) can enhance your role in achieving financial statement auditability. As financial operations grow more complex, AI offers powerful capabilities to help you analyze large datasets quickly, identify patterns, and detect discrepancies that could signal material weaknesses. You’ll learn how to use AI-driven analytics to uncover process inefficiencies, spot compliance risks, and improve the accuracy of financial statements.

Through real-world examples, you’ll see how AI can help you address control weaknesses, strengthen risk assessments, and ensure proper financial reporting. You’ll also discover how to integrate AI into your current audit workflows, use automation to streamline financial data validation, and apply machine learning for predictive insights. By the end of the session, you’ll have a clearer understanding of how AI can bring greater accuracy, efficiency, and reliability to your audit efforts.

(LOs) After participating in this session, attendees should be able to:

• Understand the role of AI in financial statement auditability.
• Recognize how AI enhances data analysis, identifies patterns, and improves financial reporting integrity.
• Explore AI-driven solutions for identifying process inefficiencies.
• Identify how AI can detect lags in financial process flows and assess material weaknesses in financial controls.
• Develop strategies to integrate AI into audit workflows.
• Gain insights into best practices for leveraging AI in financial audits to ensure compliance, accuracy, and efficiency.

Speakers:

• Adams

Competency:

Audit (Includes Planning, Management and Operations)

---