Templates / Monitor semiconductor board reliability with OpenAI and Slack alerts

Monitor semiconductor board reliability with OpenAI and Slack alerts

Ready for 3.0

by Cheng Siong Chin ✓ · 51 views · created 2026-04-15 · Engineering, 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 29 nodes and runs on a schedule (every 15 minutes) (plus 1 other trigger). Along the way it connects Google Sheets, OpenAI Chat Model, Data table and Slack and 1 more.

How it runs

Trigger: On a schedule (every 15 minutes) (plus 1 other trigger).

  1. Fetch Utilization Data (Google Sheets): uses Google Sheets
  2. Prepare Capacity Data (Edit Fields (Set)): sets 6 fields: bedUtilization, staffUtilization, equipmentUtilization…
  3. Supervisor Agent (AI Agent): runs an AI agent, with model: Supervisor Model; 9 tools (Code Tool, Calculator, Reporting Agent, Escalation Agent…); output parser: Structured Output Parser
  4. Prepare History Data (Edit Fields (Set)): sets 7 fields: timestamp, bedUtilization, staffUtilization…
  5. Store Capacity History (Data table): uses Data table
  6. Route by Severity (Switch): routes items into 3 branches
  7. Send Critical Alert (Slack): uses Slack
  8. Send Warning Alert (Slack): uses Slack
  9. Format Report Data (Edit Fields (Set)): sets 10 fields: reportTimestamp, department, bedUtilization…
  10. Merge: merges the data from its input branches

…plus 2 more steps. See the full node list below.

Services it uses

Google SheetsOpenAI Chat ModelData tableSlackEmail Send Hitl

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.

Rarely used nodes in this template: n8n-nodes-base.emailSendHitlTool

Nodes used (18)

From the author

How It Works This workflow automates semiconductor board-level reliability monitoring using AI agents. It targets reliability engineers, manufacturing teams, and quality analysts. The system collects capacity, history, and sensor data, then applies…

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

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

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