How AgentFlo built AI sales agents with Amazon Bedrock AgentCore – Part 1

This article describes how AgentFlo built intelligent AI sales agents that convert conversations into completed purchases using Amazon Bedrock AgentCore and the Strands Agents SDK.

• Recipe-based deployment enables merchants to launch customized agents in minutes without coding
• Strands Agents SDK uses model-driven architecture with tools as Python functions and automated orchestration
• AgentCore Gateway provides centralized tool management and MCP-native connectivity to integrations like Shopify, WooCommerce, and payment processors
• Isolated microVM execution ensures multi-tenant isolation with stateful sessions up to eight hours
• Serverless architecture scales independently across messaging, agent execution, and tool layers
• Standardization through reusable recipes, tool marketplace, and conversation review loops reduces maintenance burden
• Single domain-specific agent with curated tools outperforms multi-agent architectures for most interactions

AgentFlo's five-pillar approach (Velocity, Standardization, Scalability, Trust, Reliability) enables production-grade agentic commerce at scale across hundreds of merchants managing over $300 billion in annual transacted value.