Workiva survey found 26% of executives saw internal audits flag AI errors that reached external audiences or board members.
84% reported confidence in AI output without human review, while only 11% viewed their data quality as sufficient for AI use.
Data quality limits adoption: 27% said it significantly blocked AI deployment; 71% cited at least moderate impact on financial, sustainability reporting.
Investor risk focus: 89% of institutional investors expressed concern about AI accuracy in corporate disclosures.
Executives prioritized governance infrastructure, including agent workflow management at 55% or traceability and audit tools at 45%.
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