Building Multi‑Agent AI Workflows in AWS with Python

CrewAI, Bedrock, Strands, and More

Introduction

AI agents have rapidly evolved from research experiments to practical helpers integrated in software development and business processes. In fact, Deloitte predicts that 25% of enterprises using generative AI will deploy AI agents in 2025 – rising to 50% by 2027 – with the AI agent market projected to grow from $5.1B in 2024 to $47.1B by 2030. These “agentic” systems are autonomous programs (often powered by large language models) that can observe their environment, make decisions, and perform tasks with minimal human guidance. Instead of following rigid, pre-defined rules like traditional software, an AI agent can adapt to context, use tools, and even learn from experience to achieve its goals.