AI agents in enterprises: Best practices with Amazon Bedrock AgentCore

Building production-ready AI agents requires careful planning and execution across the entire development lifecycle. The difference between a prototype that impresses in a demo and an agent that delivers value in production is achieved through disciplined engineering practices, robust architecture, and continuous improvement.

This post explores nine essential best practices for building enterprise AI agents using Amazon Bedrock AgentCore. Amazon Bedrock AgentCore is an agentic platform that provides the services you need to create, deploy, and manage AI agents at scale. In this post, we cover everything from initial scoping to organizational scaling, with practical guidance that you can apply immediately.

Start small and define success clearly

The first question you need to answer isn’t “what can this agent do?” but rather “what problem are we solving?” Too many teams start by building an agent that tries to handle every possible scenario. This leads to complexity, slow iteration cycles ...