Build Enterprise-Grade Agentic Workflows with AI Agents and Distributed Transactions

As enterprises embrace AI, agentic workflows are emerging as a powerful approach for orchestrating intelligent interactions across AI models, agents, enterprise applications, and services. However, building enterprise-ready agentic applications requires more than AI reasoning—it requires reliable orchestration, state management, human oversight, and transactional consistency across distributed systems. In this hands-on lab, you’ll build a no-code loan application approval workflow using Oracle MicroTx Workflows, a cloud-native, enterprise-grade orchestration engine designed for long-running business processes and distributed transactions. You’ll learn how to combine LLMs, AI agents, Model Context Protocol (MCP) servers, existing enterprise services, human-in-the-loop approvals, and stateful memory to create end-to-end AI-powered business workflows. Through agentic tasks, an AI-powered planner, and workflow orchestration capabilities, you’ll explore how to design reliable agentic applications that connect AI innovation with real-world enterprise requirements.