Enterprise AI Agents Stall Over Permissions as Workday Bets Governance Must Live Where Data Lives

Enterprise AI agents are stalling not because of model failures, but because of complex permissioning challenges — and Workday is betting its Sana platform, integrated with Google Gemini, can solve the crisis by keeping governance and identity controls inside the same system where sensitive HR and financial data actually lives.

• Enterprise AI agents are hitting major roadblocks not due to model performance, but due to permissioning challenges around what agents can access, on whose behalf, and how authorization is verified.
• Workday is positioning its system of record as the governance layer for AI agents through its Sana platform, which integrates with Google Gemini to ensure agents operate strictly within authenticated user permissions and maintain proper audit trails.
• Experts warn that permissions and governance must live within the same system where data resides, as separating identity and access controls from the actual data source creates security gaps and operational chaos in regulated industries like HR and finance.