Google Cloud and Workday Expand AI Agent Partnership for HR and Finance 2026

Enterprise HR and finance teams still juggle dozens of applications to complete routine tasks — from checking leave balances to approving timesheets. Google Cloud and Workday are addressing this directly by embedding AI agents where employees already work.

On May 28, 2026, Google Cloud and Workday announced a significant expansion of their strategic partnership, bringing AI-powered agents for HR and finance into the everyday tools employees already use. The collaboration combines Workday's Agent System of Record (ASOR) with Google Cloud's enterprise agent platform and Gemini models, creating a unified, governed foundation for multi-agent orchestration.

What was announced

The expanded partnership introduces several concrete integrations and capabilities available starting today or in early access:

• Sana Self-Service Agent in Gemini Enterprise: Workday's Sana Self-Service Agent is now available in early access directly inside Gemini Enterprise. Employees ask questions in Gemini and receive answers drawn from Workday data with policies and permissions already applied.
• Gemini as default AI model for Sana for Workday: Gemini replaces previous default models, bringing advanced reasoning, multilingual support, and multi-modal capabilities to HR and finance workflows within Sana.
• Zero-copy data integration via Workday Data Cloud and BigQuery: Using zero-copy technology, Workday Data Cloud and Google Cloud Lakehouse share and query data without moving or duplicating it, keeping security permissions intact.
• Agent Marketplace availability: Sana Self-Service Agent is listed on Google Cloud's Agent Marketplace, with additional Workday agents planned for later in 2026.
• GSI partnerships: Accenture, Deloitte, and KPMG are designated partners to help enterprise customers deploy agentic HR and finance workflows, supported by Google Cloud's innovation fund.
• Alphabet as internal pilot customer: Alphabet will use the Gemini Enterprise Agent Platform to build and run a custom Workday agent for streamlining workflows for their Workday administrators.

Why this matters

For CIOs, IT directors, and procurement leaders evaluating enterprise AI strategy, this partnership addresses a persistent challenge: AI tools that require employees to leave their primary workflow to act on insights. By embedding Workday agents directly into Gemini Enterprise, employees handle HR and finance tasks — time-off requests, payroll review, expense policy queries — without switching applications.

The governance model is equally significant. Workday's ASOR brings built-in business rules, approval chains, and security permissions into every agent interaction. Data processed through the zero-copy integration with BigQuery never leaves Workday's secure environment, which is a critical requirement for organizations operating under strict data residency or compliance mandates.

The support for Agent-to-Agent (A2A), Agent-to-UI (A2UI), and Model Context Protocol (MCP) standards means this architecture is designed for interoperability — agents from Workday, Google Cloud, and third parties can hand off tasks autonomously within a single workflow. For IT architects, this reduces integration overhead and creates a scalable foundation for expanding agentic capabilities across the enterprise.

Our customers want HR and finance at their fingertips, not scattered across a dozen applications. Together with Google Cloud, we are 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. 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.

Technical details

• Multi-agent protocol support: A2A (Agent-to-Agent), A2UI (Agent-to-UI), and MCP (Model Context Protocol) enable agents to share context and hand off tasks autonomously in real time.
• Zero-copy data architecture: Workday Data Cloud and Google Cloud Lakehouse exchange data without duplication; each system reads data at its source, preserving all security and permission layers.
• Gemini as default model: Gemini's advanced reasoning, multilingual workforce support, and multi-modal processing are now embedded in Sana for Workday, with flexibility for customers to switch models when required.
• Workday ASOR: The Agent System of Record provides a centralized governance layer ensuring all agents — Workday-native, Google, or third-party — operate within defined business rules and approval workflows.
• Conversational analytics: Agents on Gemini Enterprise enable natural language queries across HR and finance data in Workday Data Cloud, delivering immediate answers without manual reporting.
• Sana Self-Service Agent capabilities: Employees can check time-off balances, update personal information, view payslips, review tax withholding, and request leave; managers can approve timesheets in bulk, start performance reviews, and submit payroll input, all within a single conversational interface.
• Workday Data Cloud availability: Currently in early adopter access; general availability planned for later in 2026.

Softprom and Google

Softprom is the official partner of Google. As an authorized partner, Softprom helps organizations across enterprise segments evaluate, license, and deploy Google Cloud solutions including AI and agent technologies.

This content was prepared as part of the Softprom DistriFlow project — an automated system for monitoring and adapting vendor news. Original source: original article.