Introducing Strands Agent SOPs – Natural Language Workflows for AI Agents

This article introduces Strands Agent SOPs, a standardized markdown format for defining AI agent workflows in natural language that balances control and flexibility.

• Agent SOPs use RFC 2119 keywords (MUST, SHOULD, MAY) for precise agent behavior control
• Parameterized inputs transform single-use prompts into flexible, reusable templates
• SOPs enable progress tracking, resumability, and transparent agent decision-making
• SOP Chaining connects focused SOPs into multi-phase workflows for complex automation
• Compatible with Strands Agents, Claude Skills, Kiro IDE, and other AI development platforms
• Easy authoring through AI assistance; describe workflows naturally and AI generates SOP format
• Amazon teams use thousands of SOPs for code reviews, documentation, incident response, monitoring
• Resolves tension between reliability and flexibility in AI agent automation

Agent SOPs democratize AI workflow automation by providing a middle ground between rigid code-defined behavior and unpredictable model-driven agents, enabling consistent, shareable, and maintainable AI automation across teams and systems.