Block 1 - Azure OpenAI Chat Model
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatAzureOpenAi - lmChatAzureOpenAi
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
Description Automatically ingests new employee data, extracts relevant signals, scores attrition risk, and notifies HR/managers with structured insights and recommended actions. Built on Azure Open...
@n8n/n8n-nodes-langchain.lmchatazureopenai, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.googledrivetrigger, n8n-nodes-base.googledrive, n8n-nodes-base.extractfromfile, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.if, n8n-nodes-base.code
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Rahul Joshi.
Original n8n.io sourceAutomatically ingests new employee data, extracts relevant signals, scores attrition risk, and notifies HR/managers with structured insights and recommended actions. Built on Azure OpenAI Chat with Structured Output Parser and true/false routing for escalation.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Employee attrition risk detection & HR alerts using Azure OpenAI GPT-4o-mini & Gmail |
|---|---|
| Complexity | advanced |
| Nodes | 16 |
| Categories | HR, AI Summarization |
| Author | Rahul Joshi |
| Published | 06 Oct 2025 |
Use the JSON export at /data/workflows/9309/9309.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Description Automatically ingests new employee data, extracts relevant signals, scores attrition risk, and notifies HR/managers with structured insights and recommended actions. Built on Azure Open...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your HR, AI Summarization use case.