Route engineering risks with Anthropic multi-agents and Slack alerts — Workflow n8n

Élevé complexité Planifié29 nœuds⚒️ Engineeringpar Cheng Siong Chin

Aperçu

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 operations managers in regulated industries, it eliminates manual review bottlenecks and ensures systemic risk issues are escalated promptly. A schedule trigger fetches design specifications and operational data, merges them, then routes to three

Nœuds utilisés

HTTP RequestSlackCodeAI AgentAnthropic Chat ModelStructured Output ParserAI Agent Tool

Aperçu du workflow

How It Works
This workflow automates engineering governance by deplo
Setup Steps
1. Set schedule trigger interval to match governance re
2. Add Anthropic API credentials to all Anthropic Model
3. Connect design specification and operational dat
Prerequisites
- Slack workspace with bot token
- Design and operational data sources (API or database)
Use Cases
- Automated design compliance auditing for aerospace or
- Real-time
Merge Engineering Data
What – Combines design and operational inputs into unif
Why – Provides all agents with complete, consistent dat
Design Validation Agent
What – Runs compliance, resource coordination, and test
Why – Covers all design governance dimensions in a sing
Safety Optimisation Agent
What – Analyses merged data for safety risks and optimi
Why – Proactively identifies hazards before they escala
Predictive Maintenance Agent
What – Forecasts maintenance needs from operational dat
Why – Prevents unplanned downtime through early interve
Consolidate, Score & Route
What – Merges all outputs, calculates risk scores, rout
Why – Ensures critical and high-risk findings trigger i
parsertooltooltoolmodelmodelmodelmodelparsertooltooltoolparsermodelparsertooltooltoolmodelparserparser
S
Schedule Trigger
W
Workflow Configuration
Fetch Design Specificati…
Fetch Operational Data
M
Merge Engineering Data
Design Validation Agent
Safety Optimization Agent
Predictive Maintenance A…
Compliance Verification …
Resource Coordination Ag…
Testing Validation Agent…
Design Validation Output…
Safety Optimization Outp…
Predictive Maintenance O…
Compliance Output Parser
Resource Coordination Ou…
Testing Validation Outpu…
Anthropic Model - Design…
Anthropic Model - Safety…
Anthropic Model - Mainte…
Anthropic Model - Compli…
Anthropic Model - Resour…
Anthropic Model - Testin…
C
Consolidate Analysis Res…
Calculate Risk Scores
R
Route by Risk Level
Alert Critical Issues
Alert High Priority Issues
L
Log Medium Priority Issues
29 nodes37 edges

Comment ça fonctionne

  1. 1

    Déclencheur

    Le workflow démarre avec un déclencheur planifié, s'exécutant selon un planning défini.

  2. 2

    Traitement

    Les données transitent par 29 nœuds, connecting agent, agenttool, code.

  3. 3

    Sortie

    Le workflow termine son automatisation et livre le résultat à la destination configurée.

Détails des nœuds (29)

HT

HTTP Request

httpRequest

#1
SL

Slack

slack

#2
CO

Code

code

#3
AI

AI Agent

n8n-nodes-langchain.agent

#4
AN

Anthropic Chat Model

n8n-nodes-langchain.lmChatAnthropic

#5
ST

Structured Output Parser

n8n-nodes-langchain.outputParserStructured

#6
AI

AI Agent Tool

n8n-nodes-langchain.agentTool

#7

Comment importer ce workflow

  1. 1Cliquez sur le bouton Télécharger JSON à droite pour enregistrer le fichier du workflow.
  2. 2Ouvrez votre instance n8n. Accédez à Workflows → Nouveau → Importer depuis un fichier.
  3. 3Sélectionnez le fichier route-engineering-risks-with-anthropic-multi-agents-and-slack-alerts téléchargé et cliquez sur Importer.
  4. 4Configurez les identifiants pour chaque nœud de service (clés API, OAuth, etc.).
  5. 5Cliquez sur Tester le workflow pour vérifier que tout fonctionne, puis activez-le.

Ou collez directement dans n8n → Importer depuis JSON :

{ "name": "Route engineering risks with Anthropic multi-agents and Slack alerts", "nodes": [...], ...}

Intégrations

agentagenttoolcodehttprequestlmchatanthropicmergeoutputparserstructuredscheduletriggersetslackswitch

Obtenir ce workflow

Téléchargez et importez en un clic

Télécharger JSONVoir sur n8n.io
Nœuds29
Complexitéhigh
Déclencheurscheduled
CatégorieEngineering

Créé par

Cheng Siong Chin

Cheng Siong Chin

@cschin

Tags

agentagenttoolcodehttprequestlmchatanthropicmergeoutputparserstructuredscheduletriggersetslack

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