AWS Showcases Agentic AI Platform With Ordering System Demo
SEATTLE — Amazon Web Services on Sunday published a technical demonstration of its agentic AI platform, showing enterprises how to build omnichannel ordering systems using Amazon Bedrock AgentCore and the new Amazon Nova 2 Sonic foundation model.
The walkthrough, posted to the AWS Machine Learning Blog (https://aws.amazon.com/blogs/machine-learning/omnichannel-ordering-with-amazon-bedrock-agentcore-and-amazon-nova-2-sonic/), illustrates how Bedrock AgentCore — AWS’s platform for building, deploying and operating AI agents at scale — can be paired with Nova 2 Sonic to handle complex ordering workflows across multiple channels, according to the company.
Bedrock AgentCore is designed to let enterprises deploy AI agents “securely at scale using any framework and foundation model,” AWS said in the blog post. The platform represents Amazon’s push into the fast-growing market for agentic AI systems — autonomous software that can execute multi-step tasks with minimal human intervention.
Nova 2 Sonic, the foundation model featured in the demonstration, is part of Amazon’s expanding lineup of proprietary AI models available through the Bedrock managed service. The model is positioned to compete with offerings from OpenAI, Anthropic, Google and other providers that also make their models available on AWS’s platform.
The omnichannel ordering demonstration targets enterprises that must manage orders across web, mobile, in-store and voice channels simultaneously. The walkthrough shows how agentic AI can coordinate these workflows without custom integration code for each channel.
The publication comes as major cloud providers intensify their competition in the agentic AI space. Microsoft has invested heavily in its Copilot ecosystem and Azure AI services, while Google Cloud has expanded its Vertex AI agent capabilities. AWS’s approach through Bedrock AgentCore emphasizes framework flexibility, allowing developers to use their preferred tools rather than locking them into a single development environment.
While the blog post is a technical how-to guide rather than a formal product launch, it signals AWS’s ongoing investment in making agentic AI accessible to enterprise developers. The company has been steadily expanding Bedrock’s capabilities since its initial launch, adding agent functionality, guardrails and knowledge base features in successive updates.
