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Building a Ready-to-Use Multi-Agent GenAI Chatbot on AWS for Streamlined Production Incident Response
Latest   Machine Learning Building a Ready-to-Use Multi-Agent GenAI Chatbot on AWS for Streamlined Production Incident Response 0 like April 17, 2025 Share this post Author(s): Asif Foysal Meem Originally published on Towards AI. This is part 2 of a step-by-step exploration of AWS Bedrock’s built-in features and multi-agent orchestration to streamline on-call incident triage — You’ll only need one coffee to triage prod incidents once you’ve got an AI buddy You’ll only need one coffee once you’ve got an AI buddy In my previous article, I introduced the idea of a chatbot for on-call developers. It was a scrappy but promising concept: I experimented with AWS Bedrock Knowledge Base, Bedrock Agents, and a Lambda function for CloudWatch integration. Since then, I formed a team during an internal hackathon to bring this concept to life. The collaborative energy was electric, and our teamwork paid off when we won the People’s Choice award! 🏆 This article is the second in a four-part series that will incrementally built the strategies to create a GenAI application using multi-agent orchestration on AWS: Previous Article: Introduction of the idea + limitation I ran into with Lambda + Bedrock agent integrationThis Article: Build the solution using the AWS Console and Bedrock’s latest Multi-Agent Orchestrator feature- We’ll leverage “clickops” to create a quick, dirty proof of concept — but you can get value from this if you’re looking to quickly validate an idea. Still, Infrastructure as… Read the full blog for free on Medium. Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor. Published via Towards AI Towards AI - Medium Share this post
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