Omnichannel ordering with Amazon Bedrock AgentCore and Amazon Nova 2 Sonic
AWS's new agentic platform combines real-time speech AI with scalable backend orchestration for seamless customer experiences.
Amazon has released a comprehensive reference architecture demonstrating how to build enterprise-grade, voice-enabled ordering systems that work seamlessly across mobile apps, websites, and voice interfaces. The solution leverages two key AWS AI services: Amazon Bedrock AgentCore, a platform for building, deploying, and operating AI agents at scale, and Amazon Nova 2 Sonic, a real-time speech-to-speech foundation model available through Amazon Bedrock. Together, they enable natural voice interactions while maintaining conversation context across multiple customer touchpoints.
The architecture is deployed using AWS Cloud Development Kit (AWS CDK) and separates frontend, AI agent, and backend services into distinct, scalable components. A critical element is the use of the Model Context Protocol (MCP), an open standard, via the AgentCore Gateway to connect AI agents to backend services like order processing and menu retrieval without tight coupling. The AgentCore Runtime hosts agents with microVM isolation, ensuring secure, performant user sessions even under high load. The backend sample includes Amazon Cognito for auth, Lambda for business logic, DynamoDB for data, and AWS Location Services for pickup recommendations.
This solution directly addresses the core challenges of omnichannel AI: processing bidirectional audio streams, maintaining state across interactions, and integrating with existing backend APIs. By providing a pre-built, modular infrastructure, AWS significantly reduces the operational overhead and development time required to launch sophisticated voice AI applications. It gives enterprises a production-ready blueprint for deploying conversational commerce agents that can scale automatically to handle peak traffic.
- Combines AgentCore platform with Nova 2 Sonic speech model for real-time, natural voice interactions across channels
- Uses Model Context Protocol (MCP) and microVM isolation in AgentCore Runtime for secure, scalable backend integration
- Provides a full CDK-deployable sample with auth, order processing, and location-based services (e.g., pickup recommendations)
Why It Matters
Provides enterprises a scalable blueprint for deploying conversational AI agents that unify customer experiences across web, mobile, and voice.