Build an AI campaign orchestrator with Amazon Bedrock and AWS End User Messaging

This article demonstrates how to build an AI campaign orchestrator that intelligently routes marketing messages across SMS, WhatsApp, and email while preventing customer fatigue and over-messaging.

• Parse natural-language campaign instructions into structured filters using Amazon Bedrock
• Predict optimal channel per customer based on engagement history or SageMaker models
• Adapt single campaign brief into channel-specific variants (160-char SMS, WhatsApp, HTML email)
• Suppress messages to fatigued customers or those with negative sentiment scores
• Use semantic search with OpenSearch Serverless to match lifestyle/affinity queries
• Orchestrate workflow with AWS Step Functions, Lambda, and DynamoDB for scalability
• Deploy sample solution via AWS SAM with GitHub repository reference

The orchestrator reduces unsubscribe rates by respecting customer preferences and message frequency limits while improving engagement through channel optimization.