Route engineering risks with Anthropic multi-agents and Slack alerts
Ready for 3.0Ready 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 6 hours). Along the way it connects Anthropic Chat Model and Slack.
How it runs
Trigger: On a schedule (every 6 hours).
- Workflow Configuration (Edit Fields (Set)): sets 6 fields: designSpecsApiUrl, operationalDataApiUrl, slackChannelId…
- Fetch Design Specifications (HTTP Request): calls an HTTP API
- Fetch Operational Data (HTTP Request): calls an HTTP API
- Merge Engineering Data (Edit Fields (Set)): sets 4 fields: designSpecs, operationalData, timestamp…
- Design Validation Agent (AI Agent): runs an AI agent, with model: Anthropic Model - Design Agent; 3 tools (Testing Validation Agent Tool, Resource Coordination Agent Tool, Compliance Verification Agent Tool); output parser: Design Validation Output Parser
- Safety Optimization Agent (AI Agent): runs an AI agent, with model: Anthropic Model - Safety Agent; 3 tools (Testing Validation Agent Tool, Resource Coordination Agent Tool, Compliance Verification Agent Tool); output parser: Safety Optimization Output Parser
- Predictive Maintenance Agent (AI Agent): runs an AI agent, with model: Anthropic Model - Maintenance Agent; 3 tools (Testing Validation Agent Tool, Resource Coordination Agent Tool, Compliance Verification Agent Tool); output parser: Predictive Maintenance Output Parser
- Consolidate Analysis Results (Merge): merges the data from its input branches
- Calculate Risk Scores (Code): runs custom JavaScript code
- Route by Risk Level (Switch): routes items into 3 branches
…plus 3 more steps. See the full node list below.
Services it uses
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)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - Edit Fields (Set)
n8n-nodes-base.set - HTTP Request
n8n-nodes-base.httpRequest - AI Agent
@n8n/n8n-nodes-langchain.agent - AI Agent Tool
@n8n/n8n-nodes-langchain.agentTool - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Anthropic Chat Model
@n8n/n8n-nodes-langchain.lmChatAnthropic - Merge
n8n-nodes-base.merge - Code
n8n-nodes-base.code - Switch
n8n-nodes-base.switch - Slack
n8n-nodes-base.slack
From the author
How It Works This workflow automates engineering governance by deploying a multi-agent AI system that validates designs, checks compliance, optimises safety, and predicts maintenance needs. Designed for engineering teams, quality assurance officers, and…