Understanding agentic workflows and the design patterns that power them | Decagon
Apr 23, 2026

Summary
This post elaborates on the technical underpinnings of agentic workflows, detailing design patterns such as planning (task decomposition), tool use, agentic RAG, reflection, and multi-agent systems. It categorizes agentic systems by autonomy and provides concrete examples of their application across various domains. The post also outlines key benefits (efficiency, scalability, reduced errors, faster problem-solving) and challenges (complexity, ethics, security, cost, error propagation, integration, compliance, reliability) associated with implementing agentic workflows. Best practices for implementation, including phased rollout, prompt engineering, and human-in-the-loop strategies, are also discussed.
More from the AI Support Agent Platform trail
- DuetBench-2: Measuring agent self-improvement in production | Decagon
- Autopilot in production: Governance of self-improving agents | Decagon
- Proactive customer service strategies for CX leaders | Decagon
- Automated customer service without losing the human touch | Decagon
- Your Decagon agent can now search the live web | Decagon