Optimize maritime routes and disruption response with OpenAI and Slack
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 18 nodes and runs on a schedule (every 15 minutes). Along the way it connects OpenAI Chat Model and Slack.
How it runs
Trigger: On a schedule (every 15 minutes).
- Fetch Vessel Telemetry & AIS Data (HTTP Request): calls an HTTP API
- Fetch Port & Weather Context (HTTP Request): calls an HTTP API
- Stage 1: Anomaly Detection Agent (AI Agent): runs an AI agent, with model: OpenAI Model - Anomaly Detection; output parser: Anomaly Detection Schema
- Stage 2: Context Aggregation Agent (AI Agent): runs an AI agent, with model: OpenAI Model - Context Aggregation; output parser: Context Aggregation Schema
- Stage 3: Route Simulation Agent (AI Agent): runs an AI agent, with model: OpenAI Model - Route Simulation; output parser: Route Simulation Schema
- Stage 4: Executive Briefing Agent (AI Agent): runs an AI agent, with model: OpenAI Model - Executive Briefing; output parser: Executive Briefing Schema
- Format Approval Request (Edit Fields (Set)): sets 7 fields: vessel_id, briefing_summary, recommended_route…
- Human Approval Required (Wait): pauses until form
- Notify Vessel & Operations Team (Slack): uses Slack
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 (8)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - HTTP Request
n8n-nodes-base.httpRequest - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Edit Fields (Set)
n8n-nodes-base.set - Wait
n8n-nodes-base.wait - Slack
n8n-nodes-base.slack
From the author
Quick Overview This workflow runs every 15 minutes to pull vessel telemetry/AIS data, enrich it with port and weather context, and use OpenAI to detect disruptions, simulate route alternatives, and generate an executive briefing that requires human approval…