AgentFlo has deployed AI-powered sales agents using Amazon Bedrock AgentCore and the Strands Agents SDK to boost revenue for eCommerce merchants. Their architecture balances rapid deployment, standardized workflows, and scalable operations for managing complex, stateful commerce conversations across global messaging platforms.
- Recipe-based agent deployment enables rapid, customized launches
- AgentCore Gateway brokers secure tool access and state persistence
- AWS services ensure elastic, multi-channel conversational commerce
Infrastructure signal
AgentFlo’s production platform is built atop AWS services with Amazon Bedrock AgentCore at its core, complemented by Strands Agents SDK for seamless agent orchestration. The infrastructure handles incoming customer messages from various channels like WhatsApp via managed APIs, passing them through a Fargate messaging layer that performs authentication, OCR, speech conversion, and safeguard mechanisms such as prompt injection detection.
State and session management relies on Amazon DynamoDB and Aurora databases, while Amazon S3 supports knowledge base storage. The integration of Amazon Bedrock AgentCore Gateway provides controlled, IAM-authorized access to functional APIs for cart, product, and knowledge base interactions. This ensures strict separation of model reasoning from access policies and operational commands, enhancing security and reliability at scale.
Developer impact
Developers benefit from a recipe-based deployment model that simplifies launching customized agents tailored to merchant workflows, languages, tones, and tools. This model avoids the limitations of generic chatbots and the inefficiency of building bespoke agents from scratch by providing a modular, composable framework ready for adaptation.
The Strands Agents SDK integrated with Bedrock AgentCore enables streaming inference from external large language models while routing tool calls securely through AgentCore Gateway. This setup streamlines the developer workflow by abstracting complex orchestration and state persistence, letting teams focus on iterating conversational logic and business rules rapidly.
What teams should watch
Teams should monitor the evolving capabilities of Amazon Bedrock AgentCore, particularly its enhanced policy enforcement and authorization mechanisms that separate reasoning from action permissions. This is critical for maintaining compliance and security as AI agents handle sensitive commerce operations with real transaction impacts.
Cost and reliability considerations are paramount given the elastic use of AWS compute, databases, and streaming services to manage high-volume multi-channel interactions. Observability investments should focus on maintaining a clear audit trail for both user sessions and tool invocations, ensuring resilience under variable conversational workloads.