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Oversight of a company’s financial reporting is one of the audit committee’s most critical responsibilities. For public companies, that includes the quarterly Form 10-Q and annual Form 10-K filed with the SEC, as well as the earnings release. The challenge is that these materials can be lengthy, the issues can be complex, and audit committees often have limited time to review drafts and supporting materials before meetings.
Effective oversight starts with understanding the company’s financial reporting process and focusing attention on the areas that matter most. Audit committees should consider significant estimates and judgments, internal control over financial reporting, unusual or nonrecurring transactions, changes in accounting policies and disclosures, non-GAAP measures, and the status of the external auditor’s work. Management can also help make the review more efficient by clearly highlighting what has changed from the prior period and explaining the financial reporting impact of significant developments.
AI is adding another dimension to financial reporting oversight. As companies begin using or evaluating AI in areas such as the close, consolidation, reconciliations, forecasting, disclosure preparation, management reporting, internal controls, and audit support, audit committees should understand where AI is entering the financial reporting environment and how management is governing its use. That includes considering AI-related risks within existing financial reporting and ICFR frameworks, maintaining appropriate human review and accountability, protecting data, evaluating third-party tools, and preparing for evolving external audit expectations. The objective is not to assume broad AI adoption, but to help ensure that innovation proceeds in a measured, risk-managed way that preserves financial reporting reliability, effective controls, documentation, and audit readiness.
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