Workiva is expanding its software platform beyond financial reporting to include risk, compliance, and sustainability management. The company aims to provide a connective layer across various business systems to support AI agents in executing complex tasks.
Krista Case, principal analyst at theCUBE Research, highlighted that enterprise AI requires context from fragmented data sources like ERP and CRM systems. This connectivity is essential for ensuring that AI-generated outputs are traceable and defensible for auditors.
The company demonstrated its product at the Amplify event, where Chief Product Officer Deepak Bharadwaj discussed the requirements for trustworthy AI. The focus remains on validating source data and providing visibility into the decision-making processes of AI agents.
As AI agents transition from simple analysis to performing multistep regulatory filings, they must integrate industry-specific rules and historical records. Providing this context transforms isolated business figures into accountable records.
