DataSnipper outlines key obstacles to audit automation—data quality, tool integration, change management, skill gaps, and ROI justification—and proposes strategies for overcoming them.
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LogicGate argues continuous assurance—real-time automated monitoring of controls instead of quarterly point-in-time audits—remains aspirational for most enterprises due to implementation bottleneck...
AccountingWeb warns that AI capabilities are being used in accounting practices without explicit approval, raising governance and compliance risks for firm leadership.
MindBridge's Vision 2026 conference surfaced key lessons on AI governance, financial integrity, and human judgment in audit—moving beyond mere automation to sustainable autonomous workflows.
Expert argues AI in finance requires higher standards for accuracy and auditability, not lower—challenging the notion that automation simplifies accounting work.
AuditBoard explores how Chief Audit Executives must adapt internal controls, guard against "agent washing," and upskill teams as AI agents reshape audit practices.