Templates / Monitor AI infrastructure costs and route budget alerts with Claude, NVIDIA, Slack, and Gmail

Monitor AI infrastructure costs and route budget alerts with Claude, NVIDIA, Slack, and Gmail

Ready for 3.0

by Cheng Siong Chin ✓ · 55 views · created 2026-02-11 · Document Extraction, AI Summarization

Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.

What this workflow does

This AI workflow has 17 nodes and runs on a schedule (every 15 minutes). Along the way it connects Anthropic Chat Model and Slack.

How it runs

Trigger: On a schedule (every 15 minutes).

  1. Workflow Configuration (Edit Fields (Set)): sets 6 fields: budgetThresholdUSD, warningThresholdUSD, slackCriticalChannel…
  2. Generate Mock AI Metrics Data (Code): runs custom JavaScript code
  3. Cost Intelligence Agent (AI Agent): runs an AI agent, with model: Anthropic Model - Cost Intelligence; output parser: Structured Output Parser
  4. Optimization Coordinator Agent (AI Agent): runs an AI agent, with model: Anthropic Model - Optimization; 2 tools (Budget Alert Tool, Routing Recommendation Tool); output parser: Structured Output Parser
  5. Store Cost Analysis History (Data table): uses Data table
  6. Route by Alert Level (Switch): routes items into 3 branches
  7. Store Optimization Recommendations (Data table): uses Data table
  8. Slack: uses Slack
  9. Slack: uses Slack
  10. Email - Executive Report (Send Email): sends an email over SMTP

Services it uses

Anthropic Chat ModelSlack

Before you upgrade to n8n 3.0

Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.

Nodes used (11)

From the author

How It Works This workflow automates cost analysis and budget optimization for enterprises managing complex operational expenses. Designed for CFOs, finance teams, and operations managers, it addresses the challenge of identifying cost inefficiencies and…

Excerpt from Cheng Siong Chin's description on n8n.io.

View the original on n8n.io → Check your own copy

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