AWS Messaging Blog
Author: Ruchikka Chaudhary
Ruchikka is a Solutions Architect II at Amazon Web Services (AWS). She specializes in helping customers optimize their cloud infrastructure and adopt various compute based solutions. With extensive experience in AWS, she has successfully guided organizations through their digital transformation journeys, particularly in areas of high-performance computing and communication services. Beyond her technical work, she enjoys reading, sketching, and exploring the world through travel.
Build an AI campaign orchestrator with Amazon Bedrock and AWS End User Messaging
This post shows how to build a campaign orchestrator on AWS End User Messaging and Amazon Bedrock. The orchestrator predicts the best channel for each customer, adapts content per channel, and holds back messages to fatigued or unhappy customers.
Build an AI-powered real estate assistant on WhatsApp using Strands Agents SDK and AWS End User Messaging
This post shows how to build a WhatsApp assistant that responds instantly. We show you how to build a real estate assistant powered by AI that delivers property discovery, home loan pre-approval, and site visit booking entirely within WhatsApp. The solution uses the Strands Agents SDK to orchestrate specialized AI agents on Amazon Bedrock, with AWS End User Messaging Social for WhatsApp integration. The serverless backend runs on AWS Lambda and Amazon DynamoDB.
Build an AI-powered course recommender using Amazon Bedrock and AWS End User Messaging
Educational technology (EdTech) providers face the challenge of maintaining seamless, personalized communication and presenting the right recommendations to their diverse stakeholders. This post explores how combining Amazon Web Services (AWS) End User Messaging and WhatsApp Business API with the advanced AI capabilities of Amazon Bedrock can transform educational engagement.
Establishing finops management: Integrating AWS Budgets with WhatsApp using AWS End User Messaging
Today, we’re sharing a solution that brings AWS Budgets alerts directly to your WhatsApp using AWS End User Messaging—enabling real-time cost awareness and faster response to budget thresholds wherever you are.
Integrate Amazon CloudWatch alarms with WhatsApp using AWS End User Messaging
In this post, we explore how to build a serverless alerting system that delivers Amazon CloudWatch alarms directly to WhatsApp using AWS End User Messaging Social. The solution addresses the limitations of traditional alerting mechanisms by using WhatsApp’s universal accessibility, rich media support, and high engagement rates to ensure critical infrastructure alerts reach teams through a familiar communication platform they already use daily.