Connected Data Is the Key to Trusted AI

Enterprises are assigning AI agents more consequential tasks, but fragmented data and undocumented institutional knowledge undermine reliability. Workiva is positioning its platform as connective tissue across business systems, expanding from financial reporting into risk, compliance and sustainability. According to theCUBE Research analyst Krista Case, trustworthy AI requires traceable, defensible outputs grounded in full business context. Raw numbers alone are insufficient. AI agents need industry knowledge, source data validation and decision transparency to handle regulated workflows accountably.