Deploy a multimodal WhatsApp ordering assistant with Amazon Bedrock AgentCore
Amazon ships multimodal agent framework for production WhatsApp deployments — text, voice, calls on one business number.
Why it matters
AWS Bedrock AgentCore enables practitioners to deploy stateful, multi-channel agents that recognize customers across voice and text. This is an inflection point: agents moving from proof-of-concept to commerce-ready infrastructure with persistent memory and real-time call handling.
The key facts
13 to knowAmazon Bedrock AgentCore framework released
Multimodal support: text, voice notes, real-time voice calls
Single shared customer memory across three channels
Built on Amazon Nova 2 models
WhatsApp integration as reference deployment
Channel and ordering layers decoupled (architecture pattern)
Amazon Bedrock AgentCore used for agent orchestration
Amazon Nova 2 as the underlying model
Multimodal input: text messages, voice notes, real-time voice calls
Single business number serving three channels
Persistent customer memory across channels
Channel and ordering logic architecturally separated
Published as AWS ML blog tutorial (Sept 2026)
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: Learn how to deploy a multimodal WhatsApp ordering assistant that takes customer orders through text, voice notes, and real-time voice calls on a single business number, built on Amazon Bedrock AgentCore with Amazon Nova 2. The channel and ordering layers stay separate, and one shared memory…