Automate SAP order-to-cash with multi-agent AI and the Google Agent SDK (ADK)
Automate SAP order-to-cash with multi-agent AI and the Google Agent SDK (ADK)


Author: Google Cloud Tech – Duration: 00:07:03
View the repository here. → https://goo.gle/4vpYk5a
Learn more about building multi-agent systems here. → https://goo.gle/4dTqNZQ
Join GEAR → https://goo.gle/4wWE3FP
Legacy Robotic Process Automation (RPA) for SAP is fragile and breaks with every UI update or layout change. Imagine replacing these fragile scripts with a resilient, intelligent multi-agent team that manages complex Order-to-Cash (O2C) processes directly through secure APIs: reasoning, inventory verification, and task execution in seconds. Join Felipe to demonstrate how to leverage the Google Agent SDK (ADK) and Model Context Protocol (MCP) to automate native SAP business workflows. Watch and see how a live multi-agent team handles real-time data inspection, inventory validation, and automated sales order generation against an SAP system. What you'll learn: * Architecture: Overcoming the scale of massive SAP submodules (like Sales & Distribution or Material Management) using APIs. * Tool Generation: Using the openapi-mcp-generator CLI to instantly convert SAP OData/OpenAPI specifications into active MCP servers and tools. * Multi-agent hierarchy: Structuring a team of ADK agents with a Sales Supervisor root agent leading specialized sub-agents (Inventory Specialist and Sales Order Creator). * Gemini Power: Leverage Gemini's million token pop-up to manage hundreds of generated tools without losing efficiency. * Parallel Execution: Performance acceleration with parallel tool calling capabilities introduced in ADK 1.1. Go from prototyping to deploying enterprise-grade secure agents with hands-on training and guidance from Google experts with GEAR. → https://goo.gle/4wWE3FP
Watch more How I built my AI agent → https://goo.gle/agent-development
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#GoogleCloud #Gemini Speakers: Felipe Lujan products mentioned: Agent SDK, Model Context Protocol, Gemini






