The AI agent bottleneck isn't model performance — it's permissions
Enterprise AI agents are stalling — not because of model performance, but because of permissioning. Every agentic workflow eventually hits the same wall: what is this agent allowed to touch, on whose behalf, and how does the system know? Workday's answer is to make its existing system of record the governance layer for agents. Gerrit Kazmaier, the company's president for product and technology, told VentureBeat in an interview that customers often struggle when they cobble to
Enterprise AI agents are encountering significant roadblocks, not due to limitations in model performance, but rather because of complex permissioning issues. Organizations are struggling to define what AI agents are authorized to access, on whose behalf they can act, and how these actions are securely managed. Workday is addressing this challenge by integrating its existing system of record as a governance layer for these AI agents.
Ensuring secure and accurate AI agent operations is crucial for enterprise adoption, especially in sensitive fields like HR and finance where errors can have immediate and significant consequences.
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