Better controls clear a path for AI in finance
Finance teams want AI faster. They don't have the controls to trust it yet.
Why it matters
AI governance and data-quality controls are becoming the gating factor for enterprise AI adoption in financial reporting — a profession where accuracy and auditability are non-negotiable. Workiva's framework suggests the market is recognizing this as a blocking problem.
The key facts
9 to knowAI governance emerging as essential for financial reporting automation
Data quality and controls cited as primary blocker to AI adoption confidence
Workiva applying reporting safeguards to AI-assisted processes
Research indicates corporate confidence gap between AI capability and trust in output
Workiva applying reporting safeguards to AI-assisted financial processes
Data quality and controls identified as critical blockers to enterprise AI trust
Financial reporting automation gaining traction despite governance gaps
Corporate confidence in AI adoption outpacing control maturity
Regulatory/compliance context driving governance-first adoption strategy
Go to the source
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Publisher excerpt: AI governance is becoming essential as automation moves into financial reporting. Executives face pressure to adopt AI faster, yet many organizations lack the data quality and controls needed to trust its output. Workiva Inc. is addressing that gap by applying established reporting safeguards to…