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“Bring it to our shop”: Workday’s pitch for keeping AI agents close to your most valuable data

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Workday's AI agent strategy is directly relevant to AI agent orchestration and enterprise data architecture.

AI/ML thenewstack.io
“Bring it to our shop”: Workday’s pitch for keeping AI agents close to your most valuable data
Summary

Workday CTO Gabe Monroy argues that enterprise AI safety must be enforced at the inference engine layer, not via external agent gateways, to achieve the near-zero error tolerance required for payroll and HR data. At DevCon, Workday introduced Agent-Ready Tools (MCP connectors), a Developer Agent for natural-language app building, and Agent Passport for pre-production verification and post-deployment monitoring with Cisco as the first attestation partner. Monroy, formerly at Google building inference infrastructure for AI labs, sees LLM guardrails as core infrastructure that must natively enforce user identity, budget authority, and org-chart constraints deep within the inference stack.

Author

Frederic Lardinois

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