The insights shared by Gerrit Kazmaier, president for product and technology at Workday, reveal a crucial aspect of the enterprise AI landscape that often goes overlooked: the bottleneck within AI agents is not about their performance but rather about permissioning. As organizations seek to leverage AI for enhanced productivity and efficiency, they frequently encounter the limitations imposed by complex governance and security frameworks. This challenge mirrors a broader trend we see in technology adoption, where effective implementation hinges more on compliance and organizational structure than on the technology itself. The implications are significant, especially when considering adjacent discussions in our publication, such as Coders are refusing to work without AI — and that could come back to bite them and [Baseline Enterprise RAG, From PDF to Highlighted Answer](/post/baseline-enterprise-rag-from-pdf-to-highlighted-answer
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Why Permissions Are the Real Barrier to Enterprise AI Agents
The challenge facing enterprise AI agents isn't their performance, but rather the complexities of permissioning.
2 min readVentureBeat
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 together solutions for their agents.