Agentic Workflow Patterns

Agentic Workflow Patterns are standardized, reusable architectural designs that define how AI agents execute complex tasks, make decisions, and interact with systems and other agents. These proven patterns include sequential processing, parallel execution, conditional branching, feedback loops, and human-in-the-loop validation. Common patterns like Chain-of-Thought, ReAct (Reasoning + Acting), and Multi-Agent Collaboration provide structured approaches for breaking down complex problems into manageable steps. By implementing these established patterns, organizations can build more reliable, predictable, and scalable AI agent systems that consistently deliver business value while minimizing hallucinations and errors.