Here is what the page “Workiva Amplify: Enterprise AI Governance Shifts to Data, Workflows and Controls” contains. Enterprise AI governance is no longer just about models—it's about the data, workflows and controls that determine what automated systems can do. As AI agents take on consequential work in finance, audit, compliance and sustainability, organizations need results grounded in business context, traceab As AI agents take on consequential work in finance, audit, compliance and sustainability, organizations need results grounded in business context, traceable to sources and governed by clear accountability.
SiliconANGLE's theCUBE previewed Workiva's Amplify event, highlighting three insights that matter for enterprise leaders. First, the focus is moving from generic AI to domain-specific agents that understand financial reporting and regulatory frameworks. Second, traceability is becoming a non-negotiable requirement, with every AI output linked to underlying data and decisions. The full version stays on the original page, which this listing opens directly.