Send a daily AWS news digest to Microsoft Teams with AWS Bedrock Claude

by Sukhman ✓ · 1 views · created 2026-10-07 · Market Research, AI Summarization

What this workflow does

This AI workflow has 12 nodes and runs on a schedule (every day at 09:00). Along the way it connects AWS Bedrock Chat Model. It also calls ce.us-east-1.amazonaws.com over HTTP.

How it runs

Trigger: On a schedule (every day at 09:00).

1. Set AWS and Teams Config (Edit Fields (Set)): sets 9 fields: teams_webhook_url, my_region, my_services…
2. If: checks a condition and branches into true / false
3. Post to Cost Explorer API (HTTP Request): calls ce.us-east-1.amazonaws.com (POST)
4. Build Combined Service List (Code): runs custom JavaScript code
5. Fetch AWS News Feed (RSS Read): reads an RSS feed
6. Filter by Recent Announcements (Code): runs custom JavaScript code
7. Relevance Analysis Agent (Basic LLM Chain): sends a prompt to an LLM, with model: Choose AI Model for Analysis; output parser: Setup Relevance Output Format
8. Construct Teams Digest Card (Code): runs custom JavaScript code
9. Post Digest to Teams Webhook (HTTP Request): calls an HTTP API (POST)

Services it uses

AWS Bedrock Chat Model

HTTP calls to: ce.us-east-1.amazonaws.com

Before you upgrade to n8n 3.0

Nodes used (9)

• Schedule Triggern8n-nodes-base.scheduleTrigger
• Edit Fields (Set)n8n-nodes-base.set
• Ifn8n-nodes-base.if
• HTTP Requestn8n-nodes-base.httpRequest
• Coden8n-nodes-base.code
• RSS Readn8n-nodes-base.rssFeedRead
• Basic LLM Chain@n8n/n8n-nodes-langchain.chainLlm
• AWS Bedrock Chat Model@n8n/n8n-nodes-langchain.lmChatAwsBedrock
• Structured Output Parser@n8n/n8n-nodes-langchain.outputParserStructured

From the author

Quick overview This workflow runs daily to read the AWS What’s New RSS feed, uses AWS Bedrock (Anthropic Claude) to score and summarize announcements against your AWS service list (optionally enriched via AWS Cost Explorer), and posts a grouped Adaptive Card…

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