Workday and Google Cloud have announced an expanded strategic partnership to bring AI agents for HR and finance closer to the people who need them, directly inside the applications they use every day.
By combining the Workday Agent System of Record (ASOR) and agent roadmap with Google Cloud's enterprise-ready agent platform and leading models, the partnership will create a single, trusted foundation where agents from Workday, Google Cloud, and third-parties work together on real HR and finance workflows, with built-in governance and security.
The new collaboration integrates the Sana Self-Service Agent from Workday directly into Gemini Enterprise. Employees can now ask a question in Gemini Enterprise and get a personal answer pulled directly from Workday, with all the right policies and permissions already applied. In addition, Gemini is now the default AI model inside Sana for Workday, giving customers a more consistent high-quality experience for the nuanced work HR and finance teams manage daily. A deeper connection between Gemini and Workday Data Cloud enables companies to move HR and finance work from static reports to immediate action, without data ever leaving Workday’s secure environment.
“Our customers want HR and finance at their fingertips, not scattered across a dozen applications,” said Gerrit Kazmaier, president, product and technology, Workday. “Together with Google Cloud, we're putting the answers and actions people need where they already work, backed by the security, rules, and approvals inherent to Workday.”
“This partnership significantly expands integrations between Google Cloud and Workday in order to make AI agents more useful and accessible across the enterprise,” said Karthik Narain, chief product and business officer at Google Cloud. “From the model layer to the platform layer, Gemini and Google Cloud will now underpin some of the most critical and common workflows in human resources and finance departments globally, so employees can get faster, more accurate answers, streamline repetitive tasks, and ultimately focus on the work that matters most.”
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